2. Support Reuse by Leveraging the Concept during Detail Design
3. Enable Easy Iterations
4. Facilitate Internal Feedback
5. Solicit Customer Feedback
6. Select an Ideal Solution
7. Tie it Together on a Platform
Recommendations
About the Research
Acknowledgments
Executive Summary
Reducing Non-Value-Added Work
An overwhelming 76% of manufacturers agree that spending more time on concept and industrial design would improve products. Unfortunately, industrial designers waste significant time on non-value-added work, which holds them back. Further, detail designers waste even more time recreating industrial design details. Reducing this non-value-added work could help a company get to market faster, optimize profitability, maximize revenue potential, and offer more competitive offerings.
Interestingly, 99% say that technology should play a role in limiting this non-value-added work. Moreover, the research identified key ways technology can help.
Seven Practices
This report reveals seven practices that will reduce non-value-added work in industrial design:
Use a single solution to support industrial and detail design.
Leverage more of the concept model during detail design.
Streamline design iterations between industrial and detail design.
Facilitate internal feedback with more efficient design reviews.
Involve customers as early as possible.
Ensure your solution meets the unique needs of industrial designers.
Tie everything together with a cloud platform.
Other Key Findings
The research also revealed several other interesting findings, including:
95% of Top Performers who use a single solution for both industrial and detail design rate their remodeling process as ‘excellent’ or ‘very good.’
71% of industrial designers say it would save time if customers could provide more feedback early on.
Industrial designers identify the top quality of an ideal industrial design solution as one that supports both subdivision and parametric modeling.
Recommendations
Recommendations and Next Steps
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Investments to improve the efficiency of industrial and concept design can offer a competitive advantage.
Consider a single solution to support industrial and detail design so that rather than wasting time importing, exporting, fixing, and recreating data, designers can spend more time on critical design work.
Ensure that detail designers can reuse as much of the concept design as possible. Reinventing the wheel by recreating design details already in the concept model wastes their time. Instead, they could use that time to innovate, improve product quality, or beat deadlines to get to market faster.
Reduce barriers to iterations so industrial and detail designers can remodel the design as needed to improve upon ideas, implement engineering changes, or fix manufacturability issues. When their work is siloed, iterations involve importing and exporting data, which wastes hours.
Improve the timeliness of internal feedback with more streamlined ways to solicit feedback and more efficient design reviews. Real-time visibility to design progress on a single, integrated design collaboration platform can improve collaboration to efficiently collect feedback.
Involve customers as early as possible to provide feedback to help ensure your product aligns with customer needs.
When selecting a single solution for industrial and detail design, ensure it supports both subdivision and parametric modeling.
Tie everything together with a cloud platform so that you have the infrastructure to support better collaboration, and designers can access the software capabilities they need on the hardware they prefer.
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full report, please visit our sponsor Dassault Systèmes SOLIDWORKSIf you have difficulty obtaining a copy of the research, please contact us.
[post_title] => Industrial Design: 7 Ways to Reduce Non-Value-Added Work
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => industrial-design-ebook
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-25 18:51:27
[post_modified_gmt] => 2024-01-25 23:51:27
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=11151
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[1] => WP_Post Object
(
[ID] => 11105
[post_author] => 2
[post_date] => 2022-03-16 09:00:27
[post_date_gmt] => 2022-03-16 13:00:27
[post_content] => Our research shows that companies with the highest tech transfer performance digitalize their tech transfer data and processes. But what does digital tech transfer look like, and how do you get there? This how-to guide shows life sciences companies the way.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes (registration required).
Table of Contents
Why Digitalize Tech Transfer?
Digitalize Data
Automate Data Gathering
Integrate Data and Processes
Expand Collaboration
Gain and Leverage Knowledge
Adopt Best Practices to Improve Tech Transfer
About the Research
Acknowledgments
Why Digitalize Tech Transfer?
Tech Transfer Objectives
The World Health Organization explains that “Technology transfer can be considered successful if there is documented evidence that the RU (receiving unit) can routinely reproduce the transferred product, process, or method against a predefined set of specifications as agreed with the SU (sending unit).” That may be true, but is that enough to define success from a business perspective? Companies have to be able to not just effectively transfer technology from early discovery to manufacturing. They have to do so efficiently, with quality, to compete.
Identifying Best Practices
Our report, Digitalizing Tech Transfer, benchmarked companies on their:
Speed in achieving steady-state, full-rate production
Yield and product quality in early production, and
Their overhead cost to support tech transfer.
Researchers used these benchmarks to identify best practices that lead to successful tech transfer performance. These best practices include digital data, processes, and technology.
Driving Tech Transfer ImprovementsThis guide identifies key steps life sciences companies must take to implement best practices and improve tech transfer performance:
Digitalize Data
Automate Data Gathering
Integrate Data and Processes
Expand Collaboration
Gain and Leverage Knowledge
All of the steps rely on digitalizing data and adopting a data-centric tech transfer approach to leverage the data and improve communication. We’ll explore each of these steps in the following pages.
For more details from this earlier research, please see Digitalizing Tech Transfer.
Adopt Best Practices to Improve Tech Transfer
Take the Time to Get it Right
It’s time for life sciences companies to digitalize tech transfer. Tech transfer success for analytical and manufacturing methods is critical to business success and profitability in the life sciences industry. But tech transfer success is multi-dimensional. Tech transfer requires agility, but speed without quality isn’t enough.1 Getting tech transfer projects right the first time helps save money and get to market faster.
Improving Tech Transfer through Digitalization
Digitalizing tech transfer processes and data is fundamental to improving tech transfer success and broader continuous improvement. The following steps can further drive best practices and performance improvements:
Digitalize Data
Automate Data Gathering
Integrate Data and Processes
Expand Collaboration
Gain and Capture Knowledge
These steps build on each other to create a digital, data-centric tech transfer approach. Successfully improving tech transfer performance and results requires integrated, open systems that can connect data across the product lifecycle from early discovery through operations and transcend lab, plant, and corporate boundaries.
*This summary is an abbreviated version of the research and does not contain the full content. For the full research, please visit our sponsor Dassault Systèmes (registration required).If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Driving Tech Transfer Performance in Life Sciences (eBook)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => digital-tech-transfer-ebook
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:26
[post_modified_gmt] => 2022-11-15 03:28:26
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=11105
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[2] => WP_Post Object
(
[ID] => 11122
[post_author] => 2572
[post_date] => 2022-02-28 08:25:32
[post_date_gmt] => 2022-02-28 13:25:32
[post_content] => How can startup companies improve their chances of success? Our Startup Survival Guide reveals both how and why simulation can provide startups an edge to launch a successful product. As part of a cloud platform, CAE can also be more accessible to startups.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes (registration required).For more information on simulation, see our related research How to Survive and Win New Markets By Getting Even More Value from Simulation andHow to Engineer High-Performing, Quality Products without Extra Cost.
Executive Summary
Endless Possibilities
Recessions and the years following them often mark the birth of new businesses, making this a very exciting time for entrepreneurs. With expanded options for funding and opportunities for new technologies to enable innovation, there are endless possibilities for startups. As a result, we are now seeing more successful new companies than ever before.
Unfortunately, for every success story, there are even more startups that do not make it. It is hard to start a new business from scratch as funding is limited, and competing with more established companies that have more resources can be challenging.
The good news is that for many, modern software tools are closing the resource gap. New software solutions, supported by a modern infrastructure, allow even the smallest businesses access to resources that previously were available only to large companies with deep pockets.
Cloud-Based Simulation
A cloud-based simulation software platform is one such tool. Simulation software allows you to evaluate more options in less time, optimize the design, and catch problems early in the design process. In addition, startups can avoid significant upfront investments in software and hardware by using a cloud-based solution. Plus, companies do not need to worry about investing precious resources in an IT department to implement and maintain it.
This Report
This report discusses the most common reasons startups fail and explains how a cloud-based simulation platform can help. By taking advantage of the technology, it can allow you to:
Access more funding
Improve profitability
Get the product right
Validate market needs
Leverage the right talent
This powerful combination can help you add your company’s name to the growing list of successful startups.
Typically, it is not a single problem that leads to failure, but the ability to simultaneously address all of this will go a long way toward improving your chance of success. A cloud-based simulation solution can help you tackle the multifaceted challenges of starting a new business to profitably bring your ideas to reality.
Table of Contents
The Opportunities for Startups
1. Access More Funding
2. Improve Profitability
3. Get the Product Right
4. Validate Market Needs
5. Leverage the Right Talent
Recommendations
Acknowledgments
Recommendations
Recommendations and Next StepsBased on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Use simulation to demonstrate progress to investors to help justify additional funding.
Leverage a cloud platform to preserve capital by avoiding high upfront costs for software licenses and investments in high-end hardware.
Optimize your product for quality and cost to maximize profitability and allow you to price your product competitively.
Support rapid iterations with simulation to develop a more innovative, competitive product.
Take advantage of simulation in the cloud to validate your product early and often with potential customers to verify it will meet market needs.
Tap into additional expertise as needed with a simulation cloud platform that will provide flexibility to easily collaborate with third parties.
*This summary is an abbreviated version of the research and does not contain the full content. For the full research, please visit our sponsor Dassault Systèmes (registration required).If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Five Ways Simulation Enables Startups
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => startup-simulation
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-25 18:52:58
[post_modified_gmt] => 2024-01-25 23:52:58
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=11122
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[3] => WP_Post Object
(
[ID] => 11085
[post_author] => 2
[post_date] => 2022-02-20 21:44:54
[post_date_gmt] => 2022-02-21 02:44:54
[post_content] => How can you ensure that you choose the right PDM software and partner for your business? The right system serves as the backbone for digital transformation and impacts productivity, product success, and profitability. How can you make sure to get it right?
Please enjoy the summary* below. For the full research, please visit our sponsor PTC (registration required).
Table of Contents
Introducing the PDM Buyer's Guide
Using the PDM Buyer's Guide
Analyze PDM Capabilities: Control
Analyze PDM Capabilities: Access
Analyze PDM Capabilities: Share
Assess Service Requirements
Service Requirements: Implementation
Service Requirements: User Adoption
Service Requirements: Support
Consider Vendor Requirements
Identify Unique Company Needs
Support the Digital Enterprise
Conclusion
Recommendations
Acknowledgments
Introducing the PDM Buyer's Guide
Product Data Management (PDM) is an important tool to help manufacturers overcome the complexities of designing, developing, producing, and supporting today’s products and product development processes. Manual and ad-hoc approaches such as shared folders, cloud storage, and hard drives are simply not effective solutions to manage critical, complex product information. These approaches may work for very small organizations, but quickly falter as organizations grow and must share information beyond a few core engineers. These techniques also fail to manage data relationships and complex file structures common to 3D CAD systems. PDM systems are purpose-built to address these issues.
PDM is a structured, collaborative solution that helps manufacturers control, access, and share crucial product data. Selecting the right PDM system can have a large impact on productivity, product success, and profitability. How can you ensure that you choose the right software and partner for your business?
Purpose of the Guide
The PDM Buyer’s Guide is not intended to provide an all-encompassing requirements list. Instead, it covers the high points that manufacturers should look for in a PDM system. Think of this as a “PDM litmus test” to see if a solution is a good high-level fit for your business before spending significant time and effort analyzing detailed features and functions.
Consider Broader Requirements
Although the checklists focus only on PDM requirements, it’s important to consider more than your current needs when choosing a system. Many companies eventually want to grow beyond basic PDM to a more complete PDM system. These more advanced capabilities are covered in our Expanding Beyond Your Outgrown PDM System Buyer’s Guide. Other companies may start with PDM and evolve through a maturity process to a more complete Product Lifecycle Management (PLM) environment. PLM extends the core PDM foundation to support more product development and engineering processes, manage a richer view of products, include more people in product development, and support processes further upstream and downstream from Engineering in the product lifecycle (Figure 1).
Conclusion
Adopt Common Requirements for PDM
PDM helps manufacturers address complexity and improve business performance. When evaluating PDM, manufacturers need to take into account:
Product requirements
Implementation, adoption, and support requirements
Vendor / business requirements
Special requirements based on company size (particularly for very small or very large organizations)
Special considerations to meet industry needs
Future requirements as the manufacturing industry continues to digitally transform
The final collection of requirements for any given company will be unique and must be prioritized based on contribution to supporting your implementation and achieving your business objectives. Some evaluation criteria may be critical, while others should carry a lower weight. The key is to select a solution that best fits the needs of the business and can be realistically supported.
Using a high-level list of requirements such as the ones in this guide can help you narrow
down potential solutions by providing a quick “litmus test” to determine if a solution and partner are a good fit before conducting detailed functional or technical reviews. For example, smaller companies may want to emphasize ease of implementation and support in their initial evaluation. Larger manufacturers, on the other hand, might emphasize more mature engineering change processes and require a more scalable solution like extended PDM.
Plan for the Future
Remember, it’s critical to consider both current and future needs when evaluating potential solutions. You should consider the possibility that your company may want to expand into a more full-featured system and look for a PDM system that can serve as a foundation for a broader PLM implementation and support your company’s digitalization objectives. You should also consider how likely it is that your business will grow and ensure that the solution you implement can scale to enterprise capabilities and provide enterprise functionality. From a PDM perspective, it’s important to implement what is needed today, but know where the business is going and select a platform that can grow with the business. Lastly, it’s important to consider the cloud a requirement regardless of whether your company is ready for the transition.
Recommendations
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Identify and weigh PDM requirements based on company needs, company size, industry, and any unique company needs
Use high-level requirements such as the ones in this guide to evaluate solutions based on business fit before engaging in detailed, technical evaluations
Consider using the cloud or managed services solutions for companies that wish to move quickly, have limited IT resources, want to reduce overhead, or want to modernize their IT infrastructure
Take user adoption into account, including simplified access, increased visualization, and task-specific apps for non-engineering resources
Take into account long-term business and process growth needs including digital transformation, AR / VR, and IoT initiatives
Consider the potential to expand to a more capable extended PDM or PLM system, but start small and get value along the way during implementation
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full research, please visit our sponsor PTC (registration required).If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => Choose the Right PDM System (buyer's guide)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => pdm-buyers-guide-2
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:02
[post_modified_gmt] => 2022-11-15 03:28:02
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=11085
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[4] => WP_Post Object
(
[ID] => 11068
[post_author] => 2572
[post_date] => 2022-02-10 23:27:53
[post_date_gmt] => 2022-02-11 04:27:53
[post_content] =>
How do you manage system family engineering?
As today’s products become increasingly complex, managing their different configurations becomes exponentially more challenging. Trying to trace which features you need to support required functions can be tedious, time-consuming, and error-prone. At the same time, the age of digital transformation has driven companies to find new ways to become more efficient. Those who have been successful, enjoy competitive advantages that make it hard for their competitors to keep up. Some companies are realizing these efficiencies with feature-based product line engineering. To learn more about this approach and determine if it is right for your company, watch this webcast to hear from Tech-Clarity’s Michelle Boucher and BigLever Software’s Dr. Charles Krueger.Webinar details:Title: How to Use a Modern Digital Approach to System Family Engineering to Stay Ahead of the CompetitionAccess: The on-demand webinar here
[post_title] => A Digital Approach to System Family Engineering
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => system-family-engineering-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-09 15:09:42
[post_modified_gmt] => 2024-01-09 20:09:42
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=11068
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[5] => WP_Post Object
(
[ID] => 11059
[post_author] => 2574
[post_date] => 2022-02-03 10:21:30
[post_date_gmt] => 2022-02-03 15:21:30
[post_content] => What could justify replacing the MES in an operating semiconductor fab? Advanced capabilities that traditional MES cannot model or support. Significant changes in the business of making microelectronics have created the need for much greater agility and complexity of processing. Seeking out a system that can support current operations is crucial to ongoing competitiveness.Reimagining Semiconductor MES: Advanced Fab Capabilities for Agility and Success supports semiconductor companies in understanding why the changes to their business demand truly modern, supportive software. Reimagining an MES that supports advanced capabilities in fabs - and then investing in it - is the path to ensure semiconductor company profitability and agility today and into the future.
For related research, please read The Manufacturing Data Challenge.
Please enjoy the summary* below. For the full research, please visit our sponsor Critical Manufacturing (registration required).
Table of Contents
New Semiconductor Imperatives
Topic: Skyrocketing Demand Puts Pressure on Fabs
Innovation Issues
Meeting Demand
Processing Challenges
Progress Matters
Quality Demands
Empowering the Workforce
IT Overwhelm
Streamlining Information Systems
MES Reimagined
Reimagine and Reinvest in MES
Acknowledgements
New Semiconductor Imperatives
Keeping up with rising demand, product portfolio growth, complex products, processing mix, and new application requirements creates tremendous challenges for semiconductor makers. Companies must increase their pace of both learning and ramping up new products and processes.
Production operations are a pinch point. To handle new demands, companies must optimize further. Thus, it is imperative to reimagine the manufacturing execution system (MES) for semiconductor to meet today’s needs. MES must expand beyond work-in-process (WIP) and track and trace to become the data platform for production innovation, change, and efficiency. All types of facilities face this need, and modern MES can serve silicon, R&D, front-end fabs, back end, and even module production. While no longer isolated, front-end fabs face particular challenges and urgency due to their array of advanced capabilities.
Reimagine and Reinvest in MES
Expect More in SoftwareOver the past several years, fab processes have changed, and your Manufacturing IT must as well. Open your minds to reimagine what MES is and does. Evaluate MES against customer requirements and strategic business needs. As this paper describes, modern MES solutions go far beyond track and trace and WIP management to support advanced semiconductor processing capabilities.Evaluate the Need Most semiconductor fabs have a vast “hidden fab” where workarounds have become the norm. To understand that count how many systems you use to support fab operations todaymeasure how much time, effort, and energy your team spends finding and consolidating data for day-to-day operations understand how much time the Manufacturing IT team spends maintaining and customizing the MES. If you’re dissatisfied with the answers, look for software that supports your fab’s advanced capabilities.Reinvest in MESPush MES providers to get what you need. Some specifics you might need are in Figure 5. Beyond specifics, you need a smooth and coherent flow of data in the fab and into the enterprise. Speed of learning all you need to ramp up for NPI and continue improving yield and serving the market opportunities lies in that manufacturing data management. Investing is urgent – you can’t be as resilient nor as profitable as you want without data that’s in context and ready to use.*This summary is an abbreviated version of the research and does not contain the full content. Please visit our sponsor Critical Manufacturing for the full research (registration required). If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Reimagining Semiconductor MES (eBook)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => semiconductor-mes
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:26
[post_modified_gmt] => 2022-11-15 03:28:26
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=11059
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[6] => WP_Post Object
(
[ID] => 11049
[post_author] => 2
[post_date] => 2022-01-12 16:01:14
[post_date_gmt] => 2022-01-12 21:01:14
[post_content] => I had the pleasure of joining Dassault Systemes’ special ENOVIA Champions Advisory Board Meeting at the end of 2021. It was a unique learning opportunity because the Champions are a global community of people that use or support ENOVIA and the 3DEXPERIENCE platform at their companies. It was also nice to see some industry friends at the meeting.I was impressed by the group’s Program activities and participation. The awards presented at the event reflect significant community engagement. The participants are active and not only have a great networking opportunity, they are empowered to learn, engage and influence the ENOVIA leadership team to help drive solution strategy to benefit their companies. Individuals who apply to the ENOVIA Champions Program represent a wide variety of Dassault Systemes customers across virtually every industry from across the globe.I was also pleased to see the level of organization and support provided by Dassault Systemes. Its logistics support makes participation in the sessions and other related community activities relatively easy. The involvement by the Dassault Systems ENOVIA team, including executive participation by ENOVIA CEO Stéphane Declee and Program leadership by Susan Lenzi, demonstrates that Dassault Systemes’ values interaction with its users. This program is a good example of a highly, mutually-beneficial vendor–customer relationship.
My Message to ENOVIA Champions
I shared two key things from our research:
The business imperative of digital transformation for manufacturers
How PLM supports digital transformation at the highest level while driving engineering efficiency gains
To see the post, including excerpts from our research, see the guest post on the Dassault Systemes site. Registration is required to see the full post.In addition, the post shares an invitation from Dassault Systemes to download some of our research and an invitation to join the ENOVIA Champions Program.
[post_title] => ENOVIA Champions Leading the Way to Digital Transformation (guest post)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => enovia-champions-guest-post
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:25:42
[post_modified_gmt] => 2022-11-15 03:25:42
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=11049
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[7] => WP_Post Object
(
[ID] => 10995
[post_author] => 2572
[post_date] => 2021-11-30 20:04:00
[post_date_gmt] => 2021-12-01 01:04:00
[post_content] => Did you know engineers waste so much time on non-value-added work, they only spend about 54% of their time actually designing? How can you prevent them from wasting too much time on non-value-added work?Our research uncovered some significant engineering inefficiencies that contribute to this including:
29% percent of engineering time is spent working with outdated information
After implementing a change, depending on product complexity, it takes 4.7 to 10.3 days for to get updated data to the entire team
94% say they need updated data faster than they currently get it
On the positive side, 100% percent of manufacturers see business value in reducing non-value-added work. Read our eBook, How to Reduce Non-Valued-Added Work in Engineering to learn how to reduce wasted effort and increase focus on value-added engineering and innovation work.
Please enjoy the summary below.* For the full report, please visit our sponsor Dassault Systèmes SOLIDWORKS (registration required).This research is an update to our 2014 report, Reducing Non-Value Added Work in Engineering and its updated 2018 report, How-To Guide: Avoid Non-Value-Added Work For Engineers. The new research also explores how trends have evolved over the last several years.For further research on this topic, you can also read the related report How to Stop Missing NPD Due Dates.
The Value of Engineering Time
Engineering Time Is a Valuable Asset
How can you reduce non-value-added engineering work?
Engineers are under constant pressure to meet tight deadlines. They need time to balance quality, cost, and performance criteria as well as to innovate and solve problems. Unfortunately, they waste too much of their valuable time on non-value-added work. Imagine the opportunities if engineers could reduce those tedious activities to focus more energy on engineering work that leads to better designs.
This Research
Based on a survey of over 220 manufacturers, this research study examines how engineers spend their time. It identifies time-consuming activities that waste time and present opportunities for improvement. This research is an updated look at a study of 248 manufacturers conducted in 2014 and examines how trends have evolved over the last seven years.
Table of Contents
Executive Summary
Identify Bottlenecks
Assess Non-Value-Added-Time
Preparing Data for Others
Business Value of Eliminating Non-Value-Added Work
Recognize the Time Required for Check-ins
Outdated Information Impacts Engineering Changes
The Impact of Outdated Information on Collaboration
Identifying the Top Performers
Strategies to Improve Efficiency
Technology as a Collaboration Solution
Consider the Security Risks of Email
The Benefits of Real-Time Data Updates
Recommendations
About the Research
Acknowledgments
Executive Overview
Engineering is Key to Competitive Differentiation
Today's market is so competitive; it is hard to stand out. To be successful, companies must empower their engineering teams to differentiate products on innovation, quality, performance, and cost. While finding the time to balance those criteria is challenging, many current processes make it even harder. Consequently, engineers report they waste a third of their time on non-value-added work, which is consistent with what we saw in 2014. Worse, 29% of their time is spent working with outdated information. It has become an even bigger problem than it was in 2014 when engineers reported working with outdated data 20% of the time. Unfortunately, this leads to even more wasted effort and rework.
Further, companies anticipate that going forward, 43% of engineering work will be done in flexible, work anywhere environments. This will only add to the complexity of engineering team environments, creating even more risk for outdated information and additional non-value-added work. Engineers need new ways of working.
One way companies can improve this situation is to provide engineers with real-time access to design data, in the right context. This keeps the data up-to-date and at their fingertips. The result should be increased engineering bandwidth, allowing more time to focus on making products more competitive. This approach also improves the growing need to improve collaboration beyond design engineers, with 83% saying it would be helpful if design data could be shared more easily with analysts and 86% wanting to share design data more easily with manufacturing.
Determining Best Practices
To determine best practices for accessing design information, Tech-Clarity analyzed survey responses from over 220 manufacturers to understand how they manage data, communicate engineering changes, and collaborate with both internal and external development team members.
The research shows that to improve efficiency, companies who are most successful, Top Performers, are 56% more likely than their lesser performing competitors to enable real-time access to design information and 52% more likely to adopt a platform of integrated engineering tools.
What Can You Learn from This Research?
This report explores best practices for streamlining access to design data in real-time. It also exposes some challenges manufacturers should be aware of as they strive to maintain a competitive edge in today's complex and cutthroat environment. The report also reveals how manufacturers can plan for a modern design environment that will support them through the 2020s.
Recommendations
Recommendations and Next Steps
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Understand how engineers spend their time and improve processes and collaboration to minimize time wasted on non-value-added work.
Consider solutions such as PLM or PDM to centralize design information and support change management and collaboration.
Evaluate options to design components in the context of the overall assembly. This will improve collaboration, make it easier to identify interdependencies between components, and provide a better understanding of the impact of changes.
Consider technologies that enable real-time updates to keep CAD data up-to-date while minimizing or eliminating check-in times.
Establish means for secure, real-time collaboration with both internal teams and third parties to minimize delays in getting updated CAD data from them and assuring your IP is protected.
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full report, please visit our sponsor Dassault Systèmes SOLIDWORKSIf you have difficulty obtaining a copy of the research, please contact us.
[post_title] => How to Reduce Non-Value-Added Work in Engineering
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => non-value-added-work-survey-results
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-08 21:47:44
[post_modified_gmt] => 2024-01-09 02:47:44
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10995
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[8] => WP_Post Object
(
[ID] => 10977
[post_author] => 2574
[post_date] => 2021-10-29 12:21:19
[post_date_gmt] => 2021-10-29 16:21:19
[post_content] => How can manufacturers succeed in the face of uncertainty that creates new needs for decision-makers at every level? Read (Re)Gaining Control in Manufacturing: The Right ERP can Ensure Uncertainty Doesn’t Restrict Your Growth to learn how and hear from three executives who have done it.
Why the right fit modern, comprehensive, and factory-capable ERP opens up visibility and control.
Ways consistent information maintains the advantage of being agile to pivot confidently as the company grows.
How to impress customers and prospects by delivering detailed information with every product at no additional cost or effort.
This eBook provides guidance on how to prepare for upgrading to modern ERP and what to look for in both the technology and the solution provider. You will get wisdom from experienced executives who have seen the power of ERP to support growth and success.For related research, see the Business Sustainability and Transformation Strategies 2021 Research eBook.Please enjoy the summary* below. Please visit our sponsor, Dassault Systemes DELMIAWORKS, for the full research (registration required).
Table of Contents
Responding in an Uncertain World
The Growth Conundrum
Expanding the Advantage
Digital Ways of Working
Digital Manufacturing in Reach
What to Look for in ERP Software
Choosing an ERP Partner
Executives on ERP
Control the Business
Executive Summary
Given the ever-shifting realities of today’s manufacturing environment, how can business leaders (re)gain control? The answer is to have an enterprise resources planning system (ERP) that fits and spans their business. Many companies are finding their current ways of working restrict their ability to respond. These companies are at an inflection point and will benefit from seeking out and investing in ERP that enables instant yet profitable decisions using complete information from across their business and plant operations.
Responding in an Uncertain World
Uncertainty Defines the MarketNo one doubts that their environment is uncertain. Nearly every business is feeling the impact of world affairs, including the COVID-19 pandemic, natural disasters, political upheaval, trade wars, and tariffs.Raising Key QuestionsAs a result, manufacturers face a plethora of market questions.
Demand – Will customer orders be up or down or swing wildly between the two?
Supply – Will raw materials to meet that demand be available now or later or not?
Labor – Can the company hire and retain employees with the needed skills and experience in the face of an enormous talent shortage nearly everywhere?
Sustainability – Can the business keep up with ever-changing and more stringent government and customer requirements?
Costs – Even when customers expect price drops, costs are rising; can we keep a healthy profit?
Control the Business
Despite UncertaintyUncertainty is a feature of the “new normal;” don’t expect it to go away. Digital is a reality every manufacturer must keep up with, especially since competitors are. Today’s manufacturing-centric ERP allows you to gain visibility, control, and analyze not just past performance but likely future scenarios. Because of these benefits, 50% of companies are planning or actively investing in ERP3.People MatterTechnology is only one aspect of this change to digital manufacturing. For ERP to succeed, expect to put effort into changing processes and mindsets as
well. People will be both the enabler and the most significant obstacle in most cases. Those who are now the key holders of knowledge may feel threatened.Project ReadinessSetting up a manufacturing ERP project is a significant undertaking. The most successful selections and implementations result from the of best subject-matter experts in every department devoting time to them. For the project to work well, their understanding of best practices and real-world processes will be essential. Plan for resistance and plenty of hard work, with ups and downs in the mood.*This summary is an abbreviated version of the research and does not contain the full content. Please visit our sponsor Dassault Systèmes for the full research (registration required). If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => (Re)Gaining Control in Manufacturing (eBook)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => manufacturing-erp-ebook
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:26
[post_modified_gmt] => 2022-11-15 03:28:26
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10977
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[9] => WP_Post Object
(
[ID] => 10968
[post_author] => 2574
[post_date] => 2021-10-28 08:28:47
[post_date_gmt] => 2021-10-28 12:28:47
[post_content] => Given the unpredictable supply and market, how can electronics manufacturers prosper? Read Boosting Operating Margins in a Changing World: Why Electronics Manufacturers Need MES More than Ever to see that even the best SMT software is not enough. You’ll hear from us and three major electronics companies’ executives on:
Recognizing that new business models have expanded the scope and negative impact of the hidden factory
Meeting customer expectations with smooth IT/OT data flows inherent in Industry 4.0
Focusing on end-to-end manufacturing data flows
Standardizing on modern electronics MES for greater profit margins
For related research, please read The Manufacturing Data Challenge.Please enjoy the summary* below. For the full research, please visit our sponsor Critical Manufacturing (registration required).
Table of Contents
Revenue Opportunity Puts Pressure on Plants
Hidden Factory
New Business Models
Manufacturing Data Challenges
Managing Manufacturing Data
Industry 4.0
Business Pressure to Invest
Helping Manufacturing Data Flow
Benefits of Standardizing on MES
Recommendations
Conclusion / Call to Action
Executive Summary
The smart connected world presents enormous growth opportunities for electronics manufacturers, including components, boards, substrates, contract manufacturers, and OEMs. Yet, that growth comes with product and application diversity and price pressures. That combination of factors creates tremendous challenges to keep operating margins and profit healthy. Improved manufacturing data management can address many of those challenges. Fortunately, a proven solution is to add a modern Industry 4.0-ready manufacturing execution system (MES).
Conclusion
Operational Benefits Modernizing the manufacturing data landscape has clear benefits for electronics operations. Systems must deliver visibility and coherent data for • day-to-day operating
• ease of delivering data to customers
• being agile in the face of relentless change
• ability to support advanced analytics for continued improvements Bottom-line ImpactGood manufacturing data management can also support lower operating costs, continuous improvement, and productivity. Modern MES, with its data flows and context, can help nearly everyone. This includes IT and OT staff trying to maintain their systems, engineers working to understand how well their designs are performing, operators and supervisors making splitsecond decisions, or executives making business and partnership decisions. Top-line Impact Customers demand that electronics companies ship reliable and complete data with products. Modern MES delivers track and trace, but so much more to ensure data and products meet requirements. In this way, MES can boost top-line revenues, design wins, and ongoing loyalty. Act Now to Protect ProfitsElectronics companies must not be complacent. Applications, products, and business models are changing. Many older systems cannot support the business’s most profitable aspects, such as outsourced services for design, assembly, testing, and logistics. The good news is, today’s modern MES can act as the manufacturing data management system you need to meet expectations and boost operating profits.*This summary is an abbreviated version of the research and does not contain the full content. Please visit our sponsor Critical Manufacturing for the full research (registration required). If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Boosting Electronics Operating Margins in an Uncertain World (eBook)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => electronics-mes-ebook
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:25
[post_modified_gmt] => 2022-11-15 03:28:25
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10968
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[10] => WP_Post Object
(
[ID] => 10947
[post_author] => 2
[post_date] => 2021-10-06 22:15:14
[post_date_gmt] => 2021-10-07 02:15:14
[post_content] => What’s the difference between the vision and the reality of the AEC digital twin? What do clients really want? This webinar asks the experts to weigh in. Increasing focus on digitalization has spurred interest in the concepts and benefits of digital twins. Companies and organizations worldwide strive to leverage digital twins to become more efficient and ensure the reliability and safety of their products, services, and facilities. But do we all understand the digital twin concept in the same way? This webinar on October 21st at 12PM EDT will explore the nature of related technologies, dig into the differences between the digital twin and BIM, and cover other hot questions the industry wants to know.Register now to hear from industry experts. For more information on the event and panelists, visit AMC Bridge's event page.Moderator:Jim Brown, Tech-Clarity Panelists:
Igor Tsinman, Co-Founder and President of AMC Bridge
Rick Dunlap, Technical Services Vice President of BrandSafway
David Craig Weir-McCall, Business Development Manager of Unreal Engine Enterprise of Epic Games
Jim Quanci, Senior Director of ADN partnerships of Autodesk
You can also see more webcasts in this series with AMC Bridge including Enabling Cloud Software and Data or How Software Enables Additive Manufacturing.
[post_title] => Digital Twin – Bridging the Gap Between Vision and Reality (webcast)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => aec-digital-twin-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:27:08
[post_modified_gmt] => 2022-11-15 03:27:08
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10947
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[11] => WP_Post Object
(
[ID] => 10934
[post_author] => 2574
[post_date] => 2021-09-30 11:15:38
[post_date_gmt] => 2021-09-30 15:15:38
[post_content] => Should quality management and product lifecycle management be a single system? As companies seek better digital continuity, the answer might appear to be yes. And yet, it may not work in every company. Register now to hear arguments on both sides of this debate on Tuesday, October 13 at 11 am Eastern, 8 am Pacific, 17:00 GMT. We’ll respond to these questions:
Must PLM and QMS be part of the same system?
How will PLM and QMS software providers respond to industry trends such as data management platforms, focusing on customer experience, creating vertical solutions?
What interesting things are happening in the PLM and QMS markets?
What do we think of Propel and its approach?
What’s in the crystal ball for the next couple of years?
Julie Fraser will discuss all of this with Peter Bilello of CIMdata and Tom Shoemaker of Propel at the Propulsion 2021 event. This October 13 session kicks off the second day of a 2-day event packed with manufacturers sharing their stories, plus a day-1 keynote by renowned technology strategist Geoffrey Moore.Register for the webcast replay now or watch the whole recorded event at no cost (Tech-Clarity discount).
For related Tech-Clarity research on PLM and QMS together for an extended digital thread:
Extending Digital Threads to the Customer Experience
[post_title] => PLM and QMS: Better Together or Apart? (Virtual Event)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => plm-qms-virtual-event
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:29:58
[post_modified_gmt] => 2022-11-15 03:29:58
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10934
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[12] => WP_Post Object
(
[ID] => 10916
[post_author] => 2577
[post_date] => 2021-09-27 10:33:12
[post_date_gmt] => 2021-09-27 14:33:12
[post_content] => How can manufacturers adopt cloud PLM to support digital transformation but avoid being stuck with a dead-end, custom system? Is it time to force a hard decision between customization and the cloud? Read Digital Transformation Driving PLM to the Cloud to learn what three leading manufacturers and our research have to say.
How today’s manufacturers are leveraging cloud PLM to support their digital transformation initiatives
The business triggers that lead to upgrading current PLM solutions
The compelling benefits of cloud and architecture choices that need to be made
How low-code PLM can support digital transformation
The eBook shares deep insights from recent research that highlights PLM’s new, elevated role in digital transformation and how cloud PLM leveraging a low-code architecture can help them achieve their goals.
For related research, watch the How Digital Transformation Is Driving PLM to the Cloudwebcast.
Please enjoy the summary* below. Please visit our sponsor, Aras, for the full research (registration required).
Table of Contents
Executive Summary
The Manufacturer's Viewpoint on PLM
The Need to Upgrade PLM
Cloud is Compelling
Evaluating PLM Deployment Options
Out-of-the-Box (OOTB) is a Fallacy
Functionality First
Cloud and Custom Aren't Incompatible
Key Takeaways
Acknowledgments
Executive Summary
Digital Transformation Demands New Capabilities, Agility
Digital transformation is intensifying the need to tailor PLM systems to serve as a company’s digital backbone and support new ways of innovating and operating. Engineers need the latest features and capabilities, but also need to keep the “right-for-me” PLM capabilities they already have. PLM solutions that are customized to achieve these goals, however, can create an ongoing need for specialized services that can limit agility and prevent adoption of new features and software versions.
Transitioning to the Cloud
Cloud solutions are compelling but are not commonly as tailorable as traditional solutions to provide a customized experience. Cloud offers numerous business and technical advantages including lower costs, less need for IT support, strong security, high availability, and practically infinite scalability. The tradeoff is typically a more out-of-the-box (OOTB) solution with lower ability to customize to enforce company standards and provide the right experience to the end user.
"Cloud" and "Customization" can Co-Exist
Our experience shows that most PLM implementations are not OOTB, especially for large organizations. This creates tension between cloud benefits and creating the new digital backbone and a “right-for-me” experience. As our experience and the research for this eBook shows, however, the right balance between cloud benefits and desired customization may be available through the emerging alternative to customization, low-code / no-code development.
Evaluating PLM Deployment Options
Cloud Comes in a Variety of Options
Cloud is compelling, but “the cloud” is not a single option. There are multiple ways to implement PLM. Let’s look at the impacts of the different options on factors like cost, agility, and the ability to customize for the “right for me” experience. Note that these are generalizations and we recognize that there are exceptions to every rule.
Key Takeaways
Research for this report leads our analysts to the following conclusions:
PLM is becoming the digital backbone for manufacturers’ digital transformation strategy
Most engineers prioritize PLM functionality and the “right-for-me” experience over cloud benefits. Traditional customization approaches lead to large technical debt and can result in dead-end customizations.
PLM is a business imperative, and like the business, it’s a moving target. It’s important to have the ability to adapt the PLM system as needs change, to remain agile, without adding technical debt.
Cloud and customization can both be options at the same time. The right PLM architecture can provide cloud benefits while also enabling customization without incurring significant technical debt.
It’s important to step back, assess current and future needs, then decide which architecture(s) best supports the business.
*This summary is an abbreviated version of the research and does not contain the full content. Please visit our sponsor Aras for the full research (registration required). If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Digital Transformation is Driving PLM to the Cloud
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => plm-to-the-cloud-ebook
[to_ping] =>
[pinged] =>
[post_modified] => 2023-12-15 13:34:02
[post_modified_gmt] => 2023-12-15 18:34:02
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10916
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[13] => WP_Post Object
(
[ID] => 10883
[post_author] => 2572
[post_date] => 2021-09-20 08:58:17
[post_date_gmt] => 2021-09-20 12:58:17
[post_content] => Would you like to learn more about one of the fastest growing best practices for systems engineering, MBSE: The Unsung Hero? Michelle Boucher joined an expert panel to discuss MBSE as the unsung hero of systems engineering and a key enabler of innovation in complex products. The panel discussed:
How MBSE is different
The value of a model-based approach vs. document-based
Success factors for a model-based approach
Challenges to look out for
Advice to implement it
Panel participants included:
Shelly Kramer, Lead Analyst and Founding Partner, Futurum Research
Jim Anderton, Director of Content, engineering.com
Douglas Orellana Ph.D, CSEP, OCSMP, ITIL4, SPC5, Vice President of Intelligent Systems Engineering, ManTech
Michelle Boucher, Vice President of Research for Engineering Practices, Tech-Clarity, Inc
Saulius Pavalkis, Industry Business Senior Consultant and MBSE Transformation Leader, CATIA Dassault Systèmes
To learn more about this topic, read the Understanding MBSE guest blog post.
[post_title] => MBSE: The Unsung Hero
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => mbse-virtual-event
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-08 21:52:01
[post_modified_gmt] => 2024-01-09 02:52:01
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10883
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[14] => WP_Post Object
(
[ID] => 10875
[post_author] => 2574
[post_date] => 2021-09-16 12:26:01
[post_date_gmt] => 2021-09-16 16:26:01
[post_content] => Manufacturing is constantly evolving, so how do you define advanced manufacturing? In this podcast episode, Julie Fraser and James Zhang, VP Market Development, Connected Operations at PTC, share their views. It starts with what constitutes advanced manufacturing today and how that has changed. New technologies can play a role, but are not sufficient. How a manufacturer uses these technologies with what they already have to improve business outcomes points to whether it's advanced. COVID and global supply chain disruptions have changed which business metrics are vital - and sometimes what plants make. So agility and resilience matter.The conversation also touches on effective processes and employee mindsets, and how technology can impact those. For example, what's the role of having employees feel more energized - now and in the future? Can people work together more effectively and be more empowered in these changed socially distanced environments? Julie and James think so. Yet, it might require you re-think your business and your shop floor. Listen to the podcastto hear ideas and examples of agility, resilience, safety, empowerment, and production innovation. Thank you to PTC for the opportunity to have this discussion.For more information, see our related research:
[post_title] => What is Advanced Manufacturing? (podcast)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => advanced-manufacturing-podcast
[to_ping] =>
[pinged] =>
[post_modified] => 2022-12-02 15:30:53
[post_modified_gmt] => 2022-12-02 20:30:53
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10875
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[15] => WP_Post Object
(
[ID] => 10851
[post_author] => 2572
[post_date] => 2021-09-15 13:52:58
[post_date_gmt] => 2021-09-15 17:52:58
[post_content] => How are your engineers managing increasing product complexity?As competitive pressures have driven innovations such as smarter features and new services, product complexity has increased. Consequently, this continues to make the job of an engineer that much harder. Our research has found that this complexity is only going to increase. Yet, the most successful companies have found ways to manage this complexity, making engineering decisions easier. This guest blog posts explores one of those methods, Model-Based Systems Engineering (MBSE). The blog post explains reasons to consider adopting MBSE, what it is, and how it can help. Please enjoy the summary below or see Michelle Boucher’s full guest post on the Dassault Systèmes Navigate the Future Blog.
Understanding MBSE: Your Secret Weapon for System Complexity
Staying Competitive Has Led to Increased ComplexityCompetition is fierce for today’s manufacturers as they seek to win market share from both traditional competitors and emerging start-ups, often at a global level. Consequently, product engineering and innovation play a crucial role in competitive differentiation. Innovation opportunities range from smarter features to new service offerings, which require increases in software, electronics, connectivity, sensors, components, and more. In fact, a Tech-Clarity study, Transformational Product Design: How to Achieve Success Designing Smarter Products, found that 71% of survey respondents report feeling pressure to add more software and electronics.While this is a powerful way to attract customers, it increases product complexity, making an engineer’s job even more challenging. Tech-Clarity’s research study, How to Engineer High-Performing, Quality Products with Extra Cost, finds that 67% of survey respondents say complexity has grown over the last five years, and 44% find it’s even harder to make critical design decisions. Yet, Top Performers are 58% more likely than their competitors to be confident in their decisions. These results show that while the job may be getting harder, there are practices that will help.However, getting it wrong is expensive. Companies that don’t make it easier for engineers will suffer negative consequences (see graph).This blog post explores the reasons for these business impacts. It also discusses why new approaches are needed, what MBSE is, and how it can help.Learn MoreTo learn more about this exciting topic, Michelle joined a panel of experts for an interactive discussion on MBSE. Among other issues, the panel discussed how to justify MBSE and shared advice to implement it. You can access the recording by registering.
[post_title] => Understanding MBSE
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => understanding-mbse
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-08 21:57:29
[post_modified_gmt] => 2024-01-09 02:57:29
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10851
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[16] => WP_Post Object
(
[ID] => 10833
[post_author] => 2
[post_date] => 2021-09-10 14:26:55
[post_date_gmt] => 2021-09-10 18:26:55
[post_content] => How can you navigate digitalization challenges in a way that will evolve with current and future needs? Join this webcast where we’ll share the results of Tech-Clarity’s research on how manufacturers accelerate digital transformation with low-code applications, and Siemens’ Christopher Merz will share practical experience from the field.You will learn:
The importance of digital transformation to business strategy
The impact of digitalization on existing applications
Which transformation initiatives generate the most gaps
Common challenges developing apps
The benefits of a low-code development approach
Register here for the live September 16, 2021 webcast to learn how low-code applications can help fill digital transformation gaps.
You can also learn more from the underlying research study, Filling Digital Transformation Gaps with Low-Code.
[post_title] => Solve Digital Transformation Gaps with Low-Code (webcast)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => low-code-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2024-09-09 20:47:47
[post_modified_gmt] => 2024-09-10 00:47:47
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10833
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[17] => WP_Post Object
(
[ID] => 10810
[post_author] => 2
[post_date] => 2021-09-08 13:12:57
[post_date_gmt] => 2021-09-08 17:12:57
[post_content] => What is more important to meeting new product development due dates, individual engineering productivity or product development efficiency? We surveyed over 160 companies to find out.Please enjoy the summary below.* For the full report, please visit our sponsor SOLIDWORKS (registration required).
Table of Contents
Executive Overview
Individual Productivity or Process Efficiency?
The Impact of Product Development Efficiency
Process Efficiency from Better Collaboration and Coordination
Process Efficiency from Data Management
How Can Companies Improve NPD Performance?
Top Performers Have Better NPD Coordination, Collaboration
Top Performers Have Digital Data Continuity
Top Performers Have a Cohesive Product Data Model
Recommendations and Next Steps
About the Research
Acknowledgments
Executive Overview
Manufacturers Consistently Miss NPD Targets
New product development (NPD) speed and agility have a clear impact on competitiveness and product profitability. Unfortunately, an earlier Tech-Clarity study found that manufacturers miss project launch dates 45% of the time2. The research also showed that time-to-market demands had increased for about two-thirds of manufacturers.
Engineering Inefficiency is a Big Issue
New product development (NPD) speed and agility have a clear impact on competitiveness and product profitability. Unfortunately, an earlier Tech-Clarity study found that manufacturers miss project launch dates 45% of the time2. The research also showed that time-to-market demands had increased for about two-thirds of manufacturers.
Identifying Best Practices in NPD
Is improving engineering efficiency enough to solve the long-time issue of missed product development dates? We believe there is more to this puzzle. We analyzed survey responses from 167 companies and identified those that were better able to develop products rapidly and efficiently while maintaining product development agility. Then, we analyzed what these “Top Performers” do differently than the poorer-performing “Others.”
Top Performers Streamline NPD with a Cohesive Digital Thread
Researchers found that the Top Performers are more likely to streamline their NPD process by creating digital continuity. In specific, they are twice as likely as Others to have full digital data continuity across phases or steps in their product development process. In a related finding, they are 37% more likely to leverage a common data model across the stages of new product development. This common product definition with full digital continuity creates a cohesive digital thread. The report explains these findings in depth and shares additional capabilities that Top Performers have mastered more than Others. Read more to learn how your company can improve NPD performance and profitability.
Individual Productivity or Process Efficiency?
Time-to-Market Takes More Than Individual ProductivityFirst, let’s be clear that manufacturers can’t choose between individual engineering efficiency and product development speed and agility. They are clearly inextricably related. NPD relies on efficient and effective engineering, but developing a successful product requires input and coordination from multiple disciplines, departments, and the supply chain. Process and project-level challenges can cause productivity loss on a grand scale.
Process Efficiency Outweighs Individual Productivity
When it comes to meeting product development due dates, inefficient NPD processes can make even the most efficient engineering teams miss time-to-market objectives. Researchers asked what has a larger positive impact on meeting product development due dates:
Productivity of individual contributors (designers, engineers, etc.)
Overall process efficiency (workflows, project execution, collaboration, coordination, working as a team, etc.)
Both equally
Only 14% of the respondents indicated that individual productivity had the most significant impact, although about one-quarter of respondents believe it has the same impact as NPD process efficiency. The majority state that overall process efficiency has a greater impact. But that doesn’t mean efficiency should be ignored. Instead, the results show that process inefficiency significantly compounds the issue of wasted time in engineering and causes companies to miss their product time-to-market goals. Manufacturers need both; higher levels of process efficiency and individual productivity.
Recommendations and Next Steps
Improve Product Development Capabilities, Drive NPD Results
Clearly, manufacturers can’t choose between engineering efficiency and product development speed, productivity, and agility. They need both. In addition to reducing non-value-added work in engineering, they must adopt the Top Performers’ best practice processes in order to improve new product development speed, efficiency, and agility.
The challenges and benchmarked capabilities lead us to recommend that manufacturers should streamline new product development with full digital continuity on a common data model, creating a complete digital thread to improve NPD performance. To do this, they should adopt best practice processes and technology.
Streamline Processes and Transitions
Manufacturers should streamline transitions between project phases by:
Implementing formal, cross-departmental processes
Providing cohesive design and product development data needed for reviews, approvals, and change management
Leverage a Product Innovation Platform Manufacturers should leverage a product innovation platform that streamlines product development by:
Providing a common data model and digital data continuity across product design and development phases
Promoting communication and collaboration across departmental boundaries and encouraging project-level coordination
Top Performers more frequently have a single data model that allows engineers and others to directly add their information to the product design, keeping a central, contextual view of the product. Others, though, take a much more disjointed approach. Product innovation platforms support project and process improvements, support digital data continuity, and enhance collaboration. In addition, leading solutions also integrate directly with a wide variety of engineering tools while offering process and data management benefits. This makes product innovation platforms the ideal way to support NPD because they drive individual productivity and project level / process level speed, efficiency, and agility. Manufacturers that leverage both of these benefits have a significant NPD advantage over their competitors.
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full report, please visit our sponsor SOLIDWORKS.If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => How to Stop Missing NPD Due Dates (survey results)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => npd-due-dates-survey-results
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:58
[post_modified_gmt] => 2022-11-15 03:28:58
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10810
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[18] => WP_Post Object
(
[ID] => 10787
[post_author] => 2577
[post_date] => 2021-09-04 10:47:30
[post_date_gmt] => 2021-09-04 14:47:30
[post_content] => How can a customized PLM system be moved to the cloud and avoid becoming stuck in a dead-end? Join James White, VP Digital Innovation Research, Tech-Clarity, and Mark Reisig, VP of Product Marketing, Aras Corporation, as they discuss:
How today’s manufacturers are leveraging cloud PLM to support their digital transformation initiatives
The business triggers that lead to upgrading a custom PLM solution
The compelling benefits of cloud and the choices that need to be made
James will share recent research which highlights PLM’s new, elevated role in digital transformation. James and Mark will have an interactive discussion about the challenges and opportunities facing manufacturers today.Register for this Aras-sponsored webcast on Thursday, September 23, 2021 at 11AM ET to hear industry experts discuss the challenges manufacturers face today and how low-code solutions impact the cloud versus custom equation.
[post_title] => How Digital Transformation is Driving PLM to the Cloud
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => driving-plm-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2023-12-15 13:35:03
[post_modified_gmt] => 2023-12-15 18:35:03
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10787
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[19] => WP_Post Object
(
[ID] => 10769
[post_author] => 2
[post_date] => 2021-08-13 19:07:39
[post_date_gmt] => 2021-08-13 23:07:39
[post_content] => How can you include the customer experience in your digital thread to gain deeper insights and increase customer intelligence? Join Jim Brown (Tech-Clarity), Ray Hein (CEO & Co-Founder of Propel), and Tony Kratovil (VP, Manufacturing Solution Leader at Salesforce) as they discuss:
Merging the operational phase of the product lifecycle with the voice of the customer
Closing the loop to deliver a true customer-centric product experience
Integrating product and customer experience elements from several underlying systems
Jim will share insights from his recent report Extending the Digital Thread to the Customer Experience which includes insights from conversations with a variety of manufacturers. Register for this Propel sponsored webcast on August 26th, 2021 at 10AM PDT / 1PM EDT.
[post_title] => Extending the Digital Thread to the Customer Experience (webcast)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => customer-experience-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:27:07
[post_modified_gmt] => 2022-11-15 03:27:07
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10769
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
)
[post_count] => 20
[current_post] => -1
[in_the_loop] =>
[post] => WP_Post Object
(
[ID] => 11151
[post_author] => 2572
[post_date] => 2022-03-22 11:58:07
[post_date_gmt] => 2022-03-22 15:58:07
[post_content] => How much of your industrial design work can be leveraged during detail design? Could your products be even better if you had more time to get concepts right by reducing non-value-added work?An overwhelming 76% of manufacturers agree that spending more time on concept and industrial design would improve products. Unfortunately, industrial designers waste significant time on non-value-added work, which holds them back. Read our eBook, Seven Ways to Reduce Non-Valued-Added Work in Industrial Design to learn how to reduce wasted effort so that Industrial Designs can work more efficiently to help your company develop even better products. You will also learn way to improve collaboration between industrial designers and design engineers.
Please enjoy the summary below.* For the full report, please visit our sponsor Dassault Systèmes SOLIDWORKS (registration required).
For related research, please read our eBook, How to Reduce Non-Valued-Added Work in Engineering to learn more about how to reduce wasted effort and increase focus on value-added engineering and innovation work.
Table of Contents
Executive Summary
Importance of Concept and Industrial Design
Identifying Top Performers
Strategies to Reduce Non-Value-Added Work
1. Improve Efficiency with a Single Solution
2. Support Reuse by Leveraging the Concept during Detail Design
3. Enable Easy Iterations
4. Facilitate Internal Feedback
5. Solicit Customer Feedback
6. Select an Ideal Solution
7. Tie it Together on a Platform
Recommendations
About the Research
Acknowledgments
Executive Summary
Reducing Non-Value-Added Work
An overwhelming 76% of manufacturers agree that spending more time on concept and industrial design would improve products. Unfortunately, industrial designers waste significant time on non-value-added work, which holds them back. Further, detail designers waste even more time recreating industrial design details. Reducing this non-value-added work could help a company get to market faster, optimize profitability, maximize revenue potential, and offer more competitive offerings.
Interestingly, 99% say that technology should play a role in limiting this non-value-added work. Moreover, the research identified key ways technology can help.
Seven Practices
This report reveals seven practices that will reduce non-value-added work in industrial design:
Use a single solution to support industrial and detail design.
Leverage more of the concept model during detail design.
Streamline design iterations between industrial and detail design.
Facilitate internal feedback with more efficient design reviews.
Involve customers as early as possible.
Ensure your solution meets the unique needs of industrial designers.
Tie everything together with a cloud platform.
Other Key Findings
The research also revealed several other interesting findings, including:
95% of Top Performers who use a single solution for both industrial and detail design rate their remodeling process as ‘excellent’ or ‘very good.’
71% of industrial designers say it would save time if customers could provide more feedback early on.
Industrial designers identify the top quality of an ideal industrial design solution as one that supports both subdivision and parametric modeling.
Recommendations
Recommendations and Next Steps
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Investments to improve the efficiency of industrial and concept design can offer a competitive advantage.
Consider a single solution to support industrial and detail design so that rather than wasting time importing, exporting, fixing, and recreating data, designers can spend more time on critical design work.
Ensure that detail designers can reuse as much of the concept design as possible. Reinventing the wheel by recreating design details already in the concept model wastes their time. Instead, they could use that time to innovate, improve product quality, or beat deadlines to get to market faster.
Reduce barriers to iterations so industrial and detail designers can remodel the design as needed to improve upon ideas, implement engineering changes, or fix manufacturability issues. When their work is siloed, iterations involve importing and exporting data, which wastes hours.
Improve the timeliness of internal feedback with more streamlined ways to solicit feedback and more efficient design reviews. Real-time visibility to design progress on a single, integrated design collaboration platform can improve collaboration to efficiently collect feedback.
Involve customers as early as possible to provide feedback to help ensure your product aligns with customer needs.
When selecting a single solution for industrial and detail design, ensure it supports both subdivision and parametric modeling.
Tie everything together with a cloud platform so that you have the infrastructure to support better collaboration, and designers can access the software capabilities they need on the hardware they prefer.
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full report, please visit our sponsor Dassault Systèmes SOLIDWORKSIf you have difficulty obtaining a copy of the research, please contact us.
[post_title] => Industrial Design: 7 Ways to Reduce Non-Value-Added Work
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => industrial-design-ebook
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-25 18:51:27
[post_modified_gmt] => 2024-01-25 23:51:27
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=11151
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[comment_count] => 0
[current_comment] => -1
[found_posts] => 695
[max_num_pages] => 35
[max_num_comment_pages] => 0
[is_single] =>
[is_preview] =>
[is_page] =>
[is_archive] =>
[is_date] =>
[is_year] =>
[is_month] =>
[is_day] =>
[is_time] =>
[is_author] =>
[is_category] =>
[is_tag] =>
[is_tax] =>
[is_search] =>
[is_feed] =>
[is_comment_feed] =>
[is_trackback] =>
[is_home] => 1
[is_privacy_policy] =>
[is_404] =>
[is_embed] =>
[is_paged] =>
[is_admin] =>
[is_attachment] =>
[is_singular] =>
[is_robots] =>
[is_favicon] =>
[is_posts_page] =>
[is_post_type_archive] =>
[query_vars_hash:WP_Query:private] => 4cee7bc906af09214b63c399474da152
[query_vars_changed:WP_Query:private] => 1
[thumbnails_cached] =>
[stopwords:WP_Query:private] =>
[compat_fields:WP_Query:private] => Array
(
[0] => query_vars_hash
[1] => query_vars_changed
)
[compat_methods:WP_Query:private] => Array
(
[0] => init_query_flags
[1] => parse_tax_query
)
)
How much of your industrial design work can be leveraged during detail design? Could your products be even better if you had more time to get concepts right by reducing non-value-added work? An overwhelming 76% of manufacturers agree that spending more time on concept and industrial design would improve products. Unfortunately, industrial designers waste significant…
Our research shows that companies with the highest tech transfer performance digitalize their tech transfer data and processes. But what does digital tech transfer look like, and how do you get there? This how-to guide shows life sciences companies the way. Please enjoy the summary* below. For the full research, please visit our sponsor Dassault…
How can startup companies improve their chances of success? Our Startup Survival Guide reveals both how and why simulation can provide startups an edge to launch a successful product. As part of a cloud platform, CAE can also be more accessible to startups. Please enjoy the summary* below. For the full research, please visit our…
How can you ensure that you choose the right PDM software and partner for your business? The right system serves as the backbone for digital transformation and impacts productivity, product success, and profitability. How can you make sure to get it right? Please enjoy the summary* below. For the full research, please visit our sponsor…
How do you manage system family engineering? As today’s products become increasingly complex, managing their different configurations becomes exponentially more challenging. Trying to trace which features you need to support required functions can be tedious, time-consuming, and error-prone. At the same time, the age of digital transformation has driven companies to find new ways to…
What could justify replacing the MES in an operating semiconductor fab? Advanced capabilities that traditional MES cannot model or support. Significant changes in the business of making microelectronics have created the need for much greater agility and complexity of processing. Seeking out a system that can support current operations is crucial to ongoing competitiveness. Reimagining…
I had the pleasure of joining Dassault Systemes’ special ENOVIA Champions Advisory Board Meeting at the end of 2021. It was a unique learning opportunity because the Champions are a global community of people that use or support ENOVIA and the 3DEXPERIENCE platform at their companies. It was also nice to see some industry friends…
Did you know engineers waste so much time on non-value-added work, they only spend about 54% of their time actually designing? How can you prevent them from wasting too much time on non-value-added work? Our research uncovered some significant engineering inefficiencies that contribute to this including: 29% percent of engineering time is spent working with…
How can manufacturers succeed in the face of uncertainty that creates new needs for decision-makers at every level? Read (Re)Gaining Control in Manufacturing: The Right ERP can Ensure Uncertainty Doesn’t Restrict Your Growth to learn how and hear from three executives who have done it. Why the right fit modern, comprehensive, and factory-capable ERP opens…
Given the unpredictable supply and market, how can electronics manufacturers prosper? Read Boosting Operating Margins in a Changing World: Why Electronics Manufacturers Need MES More than Ever to see that even the best SMT software is not enough. You’ll hear from us and three major electronics companies’ executives on: Recognizing that new business models have…
What’s the difference between the vision and the reality of the AEC digital twin? What do clients really want? This webinar asks the experts to weigh in. Increasing focus on digitalization has spurred interest in the concepts and benefits of digital twins. Companies and organizations worldwide strive to leverage digital twins to become more efficient…
Should quality management and product lifecycle management be a single system? As companies seek better digital continuity, the answer might appear to be yes. And yet, it may not work in every company. Register now to hear arguments on both sides of this debate on Tuesday, October 13 at 11 am Eastern, 8 am Pacific,…
How can manufacturers adopt cloud PLM to support digital transformation but avoid being stuck with a dead-end, custom system? Is it time to force a hard decision between customization and the cloud? Read Digital Transformation Driving PLM to the Cloud to learn what three leading manufacturers and our research have to say. How today’s manufacturers…
Would you like to learn more about one of the fastest growing best practices for systems engineering, MBSE: The Unsung Hero? Michelle Boucher joined an expert panel to discuss MBSE as the unsung hero of systems engineering and a key enabler of innovation in complex products. The panel discussed: How MBSE is different The value…
Manufacturing is constantly evolving, so how do you define advanced manufacturing? In this podcast episode, Julie Fraser and James Zhang, VP Market Development, Connected Operations at PTC, share their views. It starts with what constitutes advanced manufacturing today and how that has changed. New technologies can play a role, but are not sufficient. How a…
How are your engineers managing increasing product complexity? As competitive pressures have driven innovations such as smarter features and new services, product complexity has increased. Consequently, this continues to make the job of an engineer that much harder. Our research has found that this complexity is only going to increase. Yet, the most successful companies…
How can you navigate digitalization challenges in a way that will evolve with current and future needs? Join this webcast where we’ll share the results of Tech-Clarity’s research on how manufacturers accelerate digital transformation with low-code applications, and Siemens’ Christopher Merz will share practical experience from the field. You will learn: The importance of digital transformation…
What is more important to meeting new product development due dates, individual engineering productivity or product development efficiency? We surveyed over 160 companies to find out. Please enjoy the summary below.* For the full report, please visit our sponsor SOLIDWORKS (registration required). Table of Contents Executive Overview Individual Productivity or Process Efficiency? The Impact of Product Development…
How can a customized PLM system be moved to the cloud and avoid becoming stuck in a dead-end? Join James White, VP Digital Innovation Research, Tech-Clarity, and Mark Reisig, VP of Product Marketing, Aras Corporation, as they discuss: How today’s manufacturers are leveraging cloud PLM to support their digital transformation initiatives The business triggers that…
How can you include the customer experience in your digital thread to gain deeper insights and increase customer intelligence? Join Jim Brown (Tech-Clarity), Ray Hein (CEO & Co-Founder of Propel), and Tony Kratovil (VP, Manufacturing Solution Leader at Salesforce) as they discuss: Merging the operational phase of the product lifecycle with the voice of the…