Prioritizing Manufacturing Data ManagementWhat have manufacturers been struggling with for years that Industry 4.0 insists they solve now? Manufacturing data management. Combining data from information technology (IT) and operations technology (OT) is essential to analysis and insights. Thus, coherent and consistent plant data is a foundation for achieving the agility and business value companies want. Yet it is anything but straightforward. And it’s not the only thing companies need to meet the challenge of manufacturing data. Research RevealsThis research aims to learn about current challenges, strategies, and programs for manufacturing data management. Over 300 responded, from manufacturers in various industry segments and of all sizes, working with data from plants in every corner of the world. We uncovered a significant and nearly universal outstanding need: better ways to integrate IT and OT data. We also discovered that there are paths that appear to lead to greater success for those who travel them most aggressively. Top Performers have made mindset, organization, and staffing changes. They are also far more likely to be using commercial software solutions and adopting modern approaches to accelerate their ability to manage manufacturing data effectively. As a result, a larger percentage of these Top Performers have already made dramatic improvements in business performance. They are in a position to make more gains.
Vision for Business Breakthroughs
The Status Quo is Risky
Many companies are now pursuing digital transformation for a new and dramatically different future. With tremendous amounts of data at every level, but especially in production plants, manufacturers know they must do a better job using that data for business decisions. And manufacturing data poses special issues.
Most Are on a Path to Industry 4.0
This vision of manufacturing transformation based on digital approaches is often called Industry 4.0. Most manufacturers in every industry and size range indicate that they have multiple Industry 4.0 projects underway.
Traditional and Innovative Goals
The goals are for agility and performance improvements on business-critical key performance indicators (KPIs). Some companies are also running a data-driven business to make more revenue from services or find other ways to add value.
Recommendations for Manufacturing Data Management
The Path Forward
Manufacturers must take action to compete with or stay a Top Performer. Formulating a clear strategy with business benefits for Industry 4.0 is a foundation. We recommend that manufacturers follow the lead of Top Performers:
Prioritize manufacturing data management and invest in both the staffing and the programs to succeed.
Adopt proven commercial technologies such as MES, PLM, and APS where possible first. They will free up precious time and resources and provide a solid foundation for advanced approaches and analytics.
Structure a program with projects that feed business needs, then proceed logically, in order of the process. For example, ensure data collection and enrichment are in place before investing in analytics projects.
Create an environment where collaboration among disciplines feels natural, and the shared vision is more compelling than the inherent differences.
It's The Beginning of a Long JourneyEven for Top Performers, challenges remain. These include data and systems integration, putting IT and OT data into a common context, agreeing on "sources of truth," and identifying data owners.
Note also that this is early days for coherent manufacturing data management. Yes, several times as many of the Top Performers have a program, staff members, capabilities, or dramatic gains on KPIs. Yet they are still only a minority.
There is more to do for every manufacturer. Faster decisions have always made a difference. However, doing things as we've done them may no longer suffice.
Seek New Approaches to Manufacturing Data Management
So, beyond doing what has been possible, we also encourage companies to seek new approaches. Solution providers are advancing their offerings. Some have integrated more functionality into plant systems. New offerings are becoming available to support manufacturing data management now and in the near future.
Be ready to explore new approaches. Validate their fit and ability to help meet your manufacturing data management challenges. Leverage both new and existing technologies and approaches to progress toward your Industry 4.0 vision.
*This summary is an abbreviated version of the research and does not contain the full content. For the full research, please visit our sponsor Critical Manufacturing (registration required).
If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => The Manufacturing Data Challenge (survey results)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => manufacturing-data-challenge
[to_ping] =>
[pinged] =>
[post_modified] => 2023-11-20 18:04:33
[post_modified_gmt] => 2023-11-20 23:04:33
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9673
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[3] => WP_Post Object
(
[ID] => 9723
[post_author] => 2572
[post_date] => 2020-09-16 11:18:09
[post_date_gmt] => 2020-09-16 15:18:09
[post_content] => Are mobile devices ready for CAD? Is CAD ready for mobile devices? When should you consider use cases for CAD on a tablet?
CAD tools have evolved significantly over the last several decades, which has coincided with several platform shifts. With the advancements in tablets combined with evolutions in CAD, we may be at the dawn of the latest shift. Together, CAD on a tablet can offer many benefits. The combination can expand the use of CAD with greater accessibility and flexibility, improved productivity, and better customer service. This blog post discusses why that is and reveals several examples of how CAD on a tablet can benefit a company, especially smaller companies and start-ups.
Read the full guest post on the Shapr3D blog.
[post_title] => How does CAD on mobile devices help?
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => mobile-devices-for-cad
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-09 14:39:46
[post_modified_gmt] => 2024-01-09 19:39:46
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9723
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[4] => WP_Post Object
(
[ID] => 9629
[post_author] => 2
[post_date] => 2020-09-02 12:42:54
[post_date_gmt] => 2020-09-02 16:42:54
[post_content] => How are companies adjusting their strategies to survive COVID-19 disruption without losing sight of long-term business sustainability? Read our survey of over 190 companies to find out how they are prioritizing limited resources to maintain focus on success factors including:
Addressing changing business models
Adopting new technology
Protecting the environment
Please enjoy the summary* below. Click here for the full report, thank you to our sponsor Dassault Systemes (registration required).
You can also read our 2019 research, Executive Strategies for Long Term Business Success, shared that sustained business viability was already at risk from disruption. The study found that companies must adapt to shifts in business models, technology, the environment, and socio-economic factors to remain competitive. The global disruption from COVID-19 has added to the risk.
Table of Contents
Global Disruptions Compound Business Risk
Disruption Impacts Company Strategies
Strategies Understandably Reflect Disconnects
COVID has Multi-Faceted Impacts
Recognizing What's Important to Long-Term Success
Factors Influencing Strategy are Relatively Consistent
Companies Simply Can't Do Everything
Business Transformation Leads Sustainability Needs
Workforce Development Importance Has Increased
Conclusions and Next Steps
About the Research
Acknowledgments
Global Disruptions Compound Business Risk
Recognizing Turbulent Times
In 2019, we asked, “How has business risk and disruption increased for your market over the last five years?” About three- quarters of companies shared that risk and disruption increased, and a full one-half of companies with over 10,000 employees said that it had grown “significantly.” Market disruption is the status quo, as only 4% said that market upheaval had decreased.
Seeing Beyond the Crisis
Now, many companies that were already fighting for their
competitive position in a rapidly changing world are facing
their own viability. The economic fallout from the global
pandemic will undoubtedly alter the world marketplace dramatically. Despite the crisis, however, companies still recognize the need to focus on long-term business sustainability.
Taking Perspective on Global Disruption
Global challenges, and currently COVID-19 in particular, have significant personal and professional impacts.
While we continue to hear that this is an “unprecedented” time, periodic global disruptions are the norm. This survey investigates the impact of global disruptions on business strategy. Most respondents were likely responding with the current pandemic in mind, but disruption could also apply to other world events such as earthquakes, tsunamis, volcanic activity, hurricanes, and human- created events like terrorism or armed
conflict.
As we’ll see, the impacts of the global disruption caused by COVID-19 aren’t the only risks companies face. Current survey results show that the overall sentiment about business risk and disruption has stayed much the same into 2020. While addressing the impacts of the pandemic are urgent, other challenges have not subsided.
Business Transformation Leads Sustainability Needs
Being Aware that Economics are Still the Largest Drivers of Success
Let’s drill down into some details on the economic, environmental, and social sustainability factors that impact long- term success. In the prior study, we asked, “How important are the following environmental, economic, and social sustainability factors to the long-term success and profitability of your company?” We identified that economic viability is priority one. “Ensuring business longevity with the right business model” is still the top priority, and significantly increased in criticality. Our recent observations show that companies see business model transformation as a way to survive or thrive in their new reality.
Considering Other Important Sustainability Factors
Likewise, “complying with government regulations” is still in the same second priority ranking, and has also grown in criticality. The importance of constrained / diminishing resources has increased as well. On the other hand, companies view that the criticality of maintaining a green corporate image, reducing the company’s direct environmental impact, and improving the company’s social impact have diminished in importance to long- term success. Although companies don’t feel they can currently prioritize sustainability, we believe the focus will return after companies and their customers exit crisis management mode.
Planning a Path to Achieve Important Goals
The focus on the global disruption may have companies in “survival mode,” but sustainability is still important. Recent discussions show that some companies want more regulation to help drive sustainability. They believe that regulation is the only way for them to be pushed, and that governmental rules are more likely to impact the supply chain and level the playing field so they can do the right thing instead of being undercut by somebody that doesn’t care or practices greenwashing.
Conclusions and Next Steps
Companies are in Crisis due to COVID
The current economic and market impacts of COVID-19 have forced many companies into survival mode. The majority of companies (56%) say that responding to the global disruption puts challenges on their ability to execute on essential corporate initiatives. This creates disconnects between what they view as critical to long-term business success and their current priorities.
Accelerating Digital Transformation and Maintaining Innovation
Almost one-half of businesses (46%) have increased focus and/or accelerated digital transformation due to the pandemic. Digitalization is an important pillar of long-term business success that can help companies survive the current disruption and become more resilient for the future. Product and service innovation is also gaining or at least holding its ground. Innovation is a crucial way companies can pivot and adapt to changing markets, needs, and resources.
Putting Lower Priority on Workforce Development and Environmental / Social Sustainability
The research shows that companies are not placing as much priority or attention on other pillars, including workforce development and environmental and social sustainability. The responses do show, however, that they understand the long-term importance of these factors.
Maintaining Focus on Long-Term Success
Just over three-quarters of companies report that addressing global disruption is a high priority. While addressing the current global crisis is the obvious concern, companies must return their focus on all of the critical areas of business sustainability quickly. Despite short-term disruption, they must continue to build for the future if they want to remain viable.
*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 Systemes (registration required).
If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => Business Sustainability and Survival 2020 (survey results)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => business-sustainability-2020
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:55
[post_modified_gmt] => 2022-11-15 03:28:55
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9629
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[5] => WP_Post Object
(
[ID] => 9505
[post_author] => 2572
[post_date] => 2020-09-02 11:14:08
[post_date_gmt] => 2020-09-02 15:14:08
[post_content] => What software capabilities will help you improve how you integrate mechanical, electronics, and electrical designs?
Tech-Clarity’s buyer’s guide, How to Select the Ideal Solution for Today’s Smart Products: Buyer’s Guide for Electrical Design, explores this question. As companies strive to make modern products smarter, innovative and more affordable, the integration of mechanical, electrical and electronic systems has become critical. Unfortunately mechanical and electrical engineers speak different languages, use separate tools, follow different design approaches and have inherent knowledge silos. Companies that have solutions to overcome these challenges will have a significant advantage in the global economy.
Please enjoy the summary* below. Please visit our sponsor, Siemens, for the full research (registration required).
Table of Contents
Executive Overview
The Growing Importance of Electrical Design in Product Development
Address the Challenges of Electrical Design
Define the Electrical Distribution System
Engineer Wiring and Harness Design in the Context of the Complete Product
Plan Electrical Routing
Prepare for Manufacturing
Service Requirements
Vendor Requirements
Identify Unique Company Needs
Conclusion
Recommendations
About the Author
Acknowledgments
Executive Overview
Today’s modern products are rarely purely mechanical. Companies rely on electrical and electronic systems more than ever to make products smarter, add innovation, and lower cost. As such, electrical design has become increasingly critical to product development. However, to be successful, mechanical and electrical designs must seamlessly integrate. The problem is that mechanical and electrical engineers speak different languages, use separate tools, and follow unique development approaches.
To make matters worse, there are inherent knowledge silos across the two domains. Ignoring these challenges and not finding solutions to break down barriers and bring the teams closer can come at a significant cost to the company. Tech-Clarity research [1] finds collaboration challenges results in:
Higher cost
Market delays
Missed customer expectations
Lost revenue opportunities
Poor quality
Companies who can successfully navigate the challenges and put the right solutions in place will have a significant advantage.
A Complete Digital Model
One approach is to develop a complete digital model of the product, including all mechanical and electrical components of the design. For many companies, this can be a first step for developing a digital twin of their products. A way to achieve it is to use an integrated product development platform that supports the entire product development process.
The Right Solution
However, this approach will not be successful for today’s modern products without the right capabilities to support electrical design. With the right electrical design solution, engineers can save time, avoid errors, and spend more time innovating.
About This Guide
This buyer’s guide explores the capabilities needed in a complete electrical design solution. It consists of four major sections covering software tool functionality, service requirements, vendor attributes, and unique company considerations for a complete solution to support electrical design, especially in the context of developing the entire product (Figure 1). Each section includes a checklist of key requirements to consider when selecting a solution.
This guide is not an all-encompassing requirements list. It provides a high-level overview. PCB Design is also an important component of electrical and electronic systems design, but for the purposes of this guide, it was considered out of scope. For more information on a complete integrated product development suite beyond electrical design, read the Tech-Clarity report, “Buyer’s Guide for Engineers: How to Select Essential Tools for Product Design.”
Recommendations
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Create a digital thread across your development process with an end-to-end integrated product development suite that includes electrical design.
Consider solutions that support defining the electrical distribution system, wiring and harness design, electrical routing, and preparing for manufacturing.
Support collaboration across mechanical and electrical engineers. Wiring and harness design should be done in the context of the entire product and exchanging ECAD / MCAD data should be automated.
Ensure you have traceability and changes automatically update across the entire product, including the electrical design.
Use an electrical design solution that will support the development of a single high-fidelity model to support your digitalization strategy and create a single source of truth.
Ensure your solution will have the support behind it to make it a success at your company.
Select a vendor who will be a good partner.
[1] Michelle Boucher, Transformational Product Design: How to Achieve Success Designing Smarter Products, Tech-Clarity.
*This summary is an abbreviated version of the ebook and does not contain the full content. Please visit our sponsor, Siemens, for the full research(registration required).If you have difficulty obtaining a copy of the research, pleasecontact us.
[post_title] => Buyer’s Guide for Electrical Design
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => buyers-guide-for-electrical-design-buyers-guide
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-09 18:50:44
[post_modified_gmt] => 2024-01-09 23:50:44
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9505
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[6] => WP_Post Object
(
[ID] => 9537
[post_author] => 2574
[post_date] => 2020-08-27 09:30:28
[post_date_gmt] => 2020-08-27 13:30:28
[post_content] =>
What does effective storytelling have to do with succeeding with Industry 4.0? Plenty.
With the right narrative by level and function, the whole company can engage with Industry 4.0 strategy. At that point, everyone, whether top-level management or shop-floor workers, can buy-in. Once they do, they can participate effectively in setting the standards required to make Industry 4.0 a reality. The trick: the entire strategy must be clear, including benefits for the company and each group and individual. Julie Fraser contributes her views on why a complete strategy is essential for succeeding with Industry 4.0 in this Manufacturing Automation article.
The title reference is to the story of the blind men and the elephant. Each person gets a different notion of what the elephant is, based on what they can touch (imagine feeling tail, ear, trunk, etc.). They think they "Get it." Yet none are in a position to grasp the power of the entire animal. This misleading view is similar to employees' piecemeal understanding when a company undertakes Industry 4.0 projects without clearly articulating an overall strategy.
Read the article to learn more about how comprehensive strategy can feed Industry 4.0 success. Learn the steps for setting a comprehensive strategy, sharing it as a compelling story, and how that feeds the improvement companies seek.
Related content: Why Strategy Matters to Industry 4.0 Success, eBook published in June 2020, sponsored by Critical Manufacturing.
[post_title] => Succeeding with Industry 4.0: Understanding the Whole Elephant (article)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => succeeding-with-industry4-0
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:25:56
[post_modified_gmt] => 2022-11-15 03:25:56
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9537
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[7] => WP_Post Object
(
[ID] => 9581
[post_author] => 2572
[post_date] => 2020-08-26 14:07:03
[post_date_gmt] => 2020-08-26 18:07:03
[post_content] => How can schools best prepare today's STEM students to close the engineering skills gap so that new graduates are ready for the real world?
Tech-Clarity’s research report, “How Academia Can Close the Engineering Skills Gap in the Age of Digitalization” explores this question. This research shares a global perspective on what colleges and universities are doing to develop the engineering talent needed in the age of digitalization. It also examines the impact COVID-19 has had on instructions and offers lessons learned that can be used to improve the educational experience in the Fall, as well as in the future.
Please enjoy the summary* below. For the full research, please visit our sponsor, Siemens (registration required).
Table of Contents
Executive Summary
Meet Industry Needs
Embrace Digitalization
Prepare for the New Corporate Culture
Opportunities for Improvement
Adapt to the Needs of the 2020s
1. Offer Long Term, Realistic Projects
2. Reshape the Curriculum
3. Leverage Software
4. Enhance Learning with Digital Twins
5. Enrich Learning with Technology
6. Develop Collaboration Skills
7. Prepare for Cross-Functional Horizontal Teams
8. Build Resumes and Offer Career Insight
9. Partner with Industry for Technology Thought Leadership
Conclusions
Recommendations
Acknowledgments
Executive Summary
Requirements for New Engineers
Industry needs more engineering graduates. New engineers must be comfortable with cross discipline projects, a range of technology including digitalization, and horizontal organizations. Along with this deep skillset, industry wants engineers to be strong problem solvers with the aptitude to apply technology to solve problems. Previous Tech-Clarity research finds that industry believes schools could do better to meet these requirements.
Requirements for Learning Approaches
Much of this is due to the traditional lecture-based approach to education. By reshaping the curriculum to focus on project-based learning and partnering with industry thought leaders, there is tremendous opportunity to improve students’ education.
This Research
This research builds upon past Tech-Clarity research, Close the Engineering Skills Gap when over two hundred companies were surveyed to identify specific skills industry wants to see in graduating engineers.
For this new research, educators from around the world were interviewed to understand what schools are doing to better prepare their students. This report details different perspectives and shares advice to evolve the curriculum to meet today’s needs.
COVID-19
The research explores how some schools have embraced digitalization, incorporated the latest technology trends, and leveraged industry partnerships. It also shares lessons learned as a result of the COVID-19 pandemic.
Schools should:
Offer long term realistic projects
Reshape the curriculum
Leverage software
Enhance learning with digital twins
Enrich learning with technology
Develop collaboration skills
Prepare for horizontal cross-functional teams
Build resumes and offer career insight
Partner with industry for technology thought leadership
These steps will help schools better prepare engineering students for industry, and recruit top talent in the future.
Recommendations
Next Steps
Based on this research and our experience, Tech-Clarity offers the following recommendations:
Restructure academic programs to maximize project-based learning opportunities. This can be done as part of the regular curriculum or as extracurricular actives.
Recognize the numerous benefits of project-based learning for both students and industry. Design programs to ensure that participants realize these benefits.
Involve industry to provide real-world problems as well as mentorships and internships to ensure students have the opportunity to learn from their experiences and expertise.
Projects need to develop problem-solving and collaboration skills, while exposing engineers to multi-discipline work
Reshape the curriculum and remove content that is less valuable for today’s engineers.
Bring in industry thought leaders and subject matter experts into the classroom.
*This summary is an abbreviated version of the research and does not contain the full content. A link to download the full report is available here. If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Engineering Skills Gap in the Age of Digitalization
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => engineering-skills-gap
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-09 18:56:40
[post_modified_gmt] => 2024-01-09 23:56:40
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9581
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[8] => WP_Post Object
(
[ID] => 9443
[post_author] => 2
[post_date] => 2020-08-26 08:55:30
[post_date_gmt] => 2020-08-26 12:55:30
[post_content] => What should supply chain-centric innovators consider when looking for PLM? How has the PLM landscape changed over the last several years, and how does SaaS fit into that picture?
Please enjoy the summary* below. For the full research, please visit our sponsor, Upchain (registration required).
Table of Contents
The State of Cloud PLM
Why Cloud SaaS is so Compelling
Current Times Increase Cloud Appeal
Choosing the Right PLM
The Shifting Cloud versus Capabilities Tradeoff
Recommendations and Next Steps
Acknowledgments
The State of Cloud PLM
Significant Benefits of the Cloud
Our research shares the way cloud solutions are implemented and operated offers valuable benefits. The software-as-a- service (SaaS) model reduces barriers to adoption and lets companies take advantage of solutions faster, at lower cost, and with less risk.
Beyond these general advantages, SaaS excels for product lifecycle management (PLM) because it opens up new business and strategic advantages to foster collaboration and support digital transformation. These benefits are even more attractive as companies struggle to cope with the ongoing impacts of the COVID-19 pandemic.
"Cloud PLM" is not a Cookie Cutter Decision
The cloud is not enough. Manufacturers rarely take a “cloud first” solution approach. Our surveys show that few companies are willing to give up significant PLM functionality to achieve SaaS benefits. They first look for a solution with the capabilities to add value to their business and then select a deployment option. This “capability first” approach has caused some companies to wait for traditional PLM package to be migrated to the cloud. They have not been willing to accept the functional tradeoffs required to leverage newer solutions built for the cloud.
The Equation is Changing
Those tradeoffs vary by company, however, and are diminishing as SaaS PLM solutions mature. PLM requirements vary by industry, company characteristics, and business objectives. For some companies, in particular supply chain-centric innovators, business drivers may make cloud solutions more favorable because they support an inherently more collaborative, multi-disciplinary, cross- company model. For these companies, the advantages of a SaaS solution may meet both “cloud first” and “capability first” criteria. This eBook shares how supply chain-centric companies can find the right solution and transition to the cloud.
Recommendations and Next Steps
Investigate SaaS Solutions
Cloud solutions are compelling because they lower implementation and adoption barriers with reduced risk and expense. Cloud PLM provides even greater strategic value due to the unique capabilities of the cloud and support for digital transformation.
Newer cloud companies provide more than just a web-based infrastructure. A native SaaS company can take a fundamentally different approach to training, data migration, licensing, integration, upgrades, and more.
Choose the Right SaaS PLM Solution
The cloud PLM opportunity is not the same for all. Engineering-centric companies may value deeper capabilities like CAD integration from traditional solutions hosted on the cloud. Supply chain-centric companies likely favor agility and collaboration from newer cloud-native solutions. Today’s supply chain volatility and supplier-centric collaboration processes turn the “capability first” model on its head because the need for agility and supply chain collaboration are more important success drivers than traditional engineering-centric capabilities.
*This summary is an abbreviated version of the research and does not contain the full content. A link to download the full report is available here. If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Supply Chain-Centric Cloud PLM (eBook)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => supply-chain-centric
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:21
[post_modified_gmt] => 2022-11-15 03:28:21
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9443
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[9] => WP_Post Object
(
[ID] => 9130
[post_author] => 2572
[post_date] => 2020-07-17 14:51:05
[post_date_gmt] => 2020-07-17 18:51:05
[post_content] =>
Where should mold makers focus to boost business profitability?
With significant business pressures and the technical complexity of injection molding, mold making is a challenging business. While tool makers face many obstacles, those surveyed identified five top challenges that make it harder to maintain a successful business. This blog post reveals these top five challenges, and the strategies to deal with them.
Read the full guest post on the Siemens NX Design Blog.
[post_title] => How Mold Makers Can Improve Their Business
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => how-mold-makers-can-improve-their-business-guest-post
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-25 18:36:48
[post_modified_gmt] => 2024-01-25 23:36:48
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9130
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[10] => WP_Post Object
(
[ID] => 9332
[post_author] => 2
[post_date] => 2020-07-08 07:30:24
[post_date_gmt] => 2020-07-08 11:30:24
[post_content] => How can manufacturers most effectively design, develop, and launch custom-engineered products that must be engineered to customer specifications? Tech-Clarity's eBook, Bringing Custom-Engineered Products to Market, shares survey data from over 200 companies to offer insights and best practices.
Please enjoy the summary* below. Click here for the full report, thank you to our sponsor Propel (registration required).
Table of Contents
Custom-Engineered Products are Compelling
What Does Profitable Customization Look Like?
Developing Engineered Products is Difficult
Benchmarking Engineered Product Performance
Top Performers Collaborate more Readily
Top Performers Integrate Data and Processes
Top Performers Integrate Systems
Conclusions and Next Steps
About the Research
Acknowledgments
Custom-Engineered Products are Compelling
Custom-Engineering Increases the Top Line
Product customization has increased in recent years and is expected to continue to grow "significantly" for most companies over the next several years. What's driving this expansion? The benefits reported by our survey respondents help explain why.
Customization Improves the Bottom Line
Driving higher sales is no guarantee of greater profitability. If custom-engineering results in selling products too cheaply or allowing costs to get out of control, the company can still lose money. Fortunately, 44% of respondents also share the custom-engineered products help them achieve higher sales margins. Whatever the cause, higher margins help ensure that the top-line benefits of custom-engineered products fall to the bottom line.
What Does Profitable Customization Look Like?
Custom Markets Require NPDI Speed
Regardless of the name, we asked companies what it takes to profit from these highly variable products. Quickly getting products and updates to market and rapidly responding to proposals are among the most common profitability drivers. This responsiveness requires strong new product development and introduction (NPDI) capabilities across the organization.
Speed Requires Precision
Speed without control, however, can be counterproductive. It could lead to errors or delays if companies don’t design quality into their designs upfront. These problems can have a significant impact considering that respondents say most of their engineering customization happens during customer inquiry / investigation phase and/or during quote / proposal stage – when time is at a premium.
Developing Engineered Products is Difficult
NPDI and Engineering Challenges Impact Performance
The challenges highlighted create serious consequences. Survey respondents indicate that these challenges lead to low margins, inefficiency, unhappy customers, rework/scrap, lost orders, missed market opportunities, and more. These are the negative business consequences of speed without control.
Conclusions and Next Steps
Custom-Engineered Products Deliver Benefits
Offering custom-engineered products drives significant business benefits including increased top and bottom-line results. The Top Performers, the 23% with the highest performance in critical market success criteria, are even more likely to enjoy these benefits. They are also more likely to report benefits that aren’t achieved as frequently by Others. For example, about one-half of Top Performers report employee productivity as a benefit of offering custom-engineered products, which is are more than twice as frequently as Others. It’s likely that their better practices allow them not only to achieve great benefits but also to do so in a more streamlined and efficient way.
Next Steps
Product customization is growing. For those companies that are already taking advantage of this opportunity, the best practices identified by this research can serve as a guide for continuous improvement. For others that are embarking on adopting a custom-engineered product strategy, the practices of the Top Performers can be used to gauge your company’s readiness to deliver the speed and control required to succeed.
*This summary is an abbreviated version of the research and does not contain the full content. For the full research, please visit our sponsor Propel (registration required).If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => Bringing Custom-Engineered Products to Market (survey results)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => custom-engineered-products
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:55
[post_modified_gmt] => 2022-11-15 03:28:55
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9332
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[11] => WP_Post Object
(
[ID] => 9403
[post_author] => 2574
[post_date] => 2020-07-02 21:31:47
[post_date_gmt] => 2020-07-03 01:31:47
[post_content] => Are your production approaches as smart as they are sophisticated? Before you answer, consider whether all the information about each aspect of the fab is readily available. Imagine the benefits in flexibility, quality, costs, agility, speed, confidence... this is the vision of smart manufacturing. To capture today’s myriad opportunities, these improvements are essential. The good news is, it’s possible today. Please visit our sponsor Siemens for the full webcast(registration required).
Smart Manufacturing in Semiconductor Manufacturing and Fabrication
Join as Julie Fraser discusses a paper on Smart Manufacturing for Semiconductor she wrote before joining the Tech-Clarity team.
Key Takeaways:
What is in MES beyond track and trace
How to tie supply chain and manufacturing operations together
How big data analytics differs from the analysis of large quantities of data
How a digital twin boosts performance
How smart manufacturing solutions weave a connected threat for a more agile enterprise.
The webinar also featuresDavid Corey, Head of Semiconductor Industry sales at Siemens Digital Industries Software. He provides both industry context and shares the Siemens’ perspective on the Smart Manufacturing digital thread for semiconductor.Watch the webcast replay now, sponsored by Siemens (registration required).
[post_title] => Digital Twin and Smart Manufacturing for Semiconductor (webcast)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => smart-manufacturing
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:27:01
[post_modified_gmt] => 2022-11-15 03:27:01
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9403
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[12] => WP_Post Object
(
[ID] => 9174
[post_author] => 2
[post_date] => 2020-06-29 16:12:47
[post_date_gmt] => 2020-06-29 20:12:47
[post_content] => What is needed for manufacturers to improve the maturity of BOM-related processes to help to manage complexity, improve efficiency, prevent mistakes, and enhance collaboration across departments and the supply chain? Read our buyer's guide to find out.
Please enjoy the summary below. Click here for the full report, thank you to our sponsor PTC.
Table of Contents
Introducing the Buyer's Guide
Diagnosing BOM Management Issues
The BOM Management Status Quo
The BOM Management Business Case
Analyze BOM Management Solution Capabilities
Assess Service Requirements
Consider Vendor Requirements
Special Considerations
Prepare for the Digital Enterprise
Conclusion
Recommendations
About the Author
About the Research
Acknowledgments
Introducing the Buyer's Guide
BOM Fundamentals
Managing Bills of Material (BOMs) is a fundamental need for any manufacturer. Without effective control of product structures, companies struggle with inefficiency and errors. On the other hand, improving the maturity of BOM-related processes helps manage complexity, improve efficiency, prevent mistakes, and enhance collaboration across departments and the supply chain. Improving the maturity of BOM-related processes helps manage complexity, improve efficiency, prevent mistakes, and enhance collaboration across departments and the supply chain. The resulting benefits can be strategic, leading to increased agility and faster time to market that impact top-line financial performance. This Buyer's Guide is a reference tool for manufacturers selecting a system to improve the maturity of their BOM. It also shares that digital BOM management is critical to support digital transformation initiatives including the digital twin, the Internet of Things (IoT), Virtual Reality (VR), and Augmented Reality (AR).
Diagnosing BOM Management Issues
Many companies operate with ineffective and immature BOM management processes without recognizing what it costs them in poor efficiency, excess cost, and lost time. Ineffective BOM management manifests itself in many ways including:
Errors in manufacturing
Poor first pass yield
Ordering the wrong parts
Delays due to part shortages
Inability to confidently adopt engineering changes
Slow time to full volume production
Late identification of manufacturability or serviceability flaws
Poor traceability
Compliance issues or excess effort to comply
Scrap and rework
Slow review and approval processes
These BOM-related challenges result in delayed time to market, quality problems, poor productivity, and excess cost. But all too frequently, companies suffer from costly issues without recognizing the root cause is poor BOM and configuration management.
The BOM Management Status Quo
Today, many companies manage BOMs through methods that aren’t enterprise ready, including documents, spreadsheets, or embedding the BOM into CAD drawings. These approaches lead to negative consequences because there isn’t a single place to find current, accurate BOM information.
Some companies try to provide downstream access to product structures in ad-hoc ways such as emailing spreadsheets. These informal methods inevitably lead to inaccurate data and multiple, conflicting versions. This leads people to make errors and bad decisions because they’re working on the wrong data.
Because the data is developed in an Engineering-centric view, many departments will copy the data into their own spreadsheets or systems, compounding the problem.In addition, the information isn’t easily refreshed as designs mature or engineering changes are made. This is part of the reason that our Reducing Non-Value Added Work in Engineering research shows that engineers work on outdated data 20% of the time, on average.
Analyzing BOM Management Solution Capabilities
Perhaps the most obvious place to start when evaluating new software solutions is functionality. For the purposes of this analysis, we’ve broken BOM management into six main focus areas:
Develop Product Structures
Manage Revisions, Configurations, Change
Visualize Products
Associate Information
Transform BOMs
Report / Analyze / Document
It’s important to recognize that these requirements are in addition to the basic needs of managing product data, as most companies will extend their PDM or PLM environment to manage BOMs. These solutions provide platform capabilities such as access control and IP protection that serve as a critical foundation for effective BOM management.
Conclusion
BOM management helps manage complexity and streamlines operations. It provides an important, foundational element that serves as the backbone for all engineering, manufacturing, and service activity. An accessible, trusted source of product structure information is valuable and improves traceability and control. Effective BOM management provides enterprise-level benefits, improving business performance and alleviating disconnects across the business. Supporting BOM management at the enterprise level requires the right solution. It’s important to evaluate key solution characteristics, but also to go beyond.
Recommendations
Based on industry experience and research on this report, Tech-Clarity offers the following recommendations:
Think big, but remain agile and take BOM management improvements in steps
Recognize the importance of accurate, complete, timely, and accessible product structures
Know your needs
Understand the value
Look for functionality, but extend requirements to vendor and service
Consider any special needs for your business, industry, or geography
Build the foundation for the digital enterprise, recognizing that BOM management is a key enabler
Get started
If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => BOM Management Buyer's Guide (white paper)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => bom-management-buyers-guide
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:40
[post_modified_gmt] => 2022-11-15 03:28:40
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9174
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[13] => WP_Post Object
(
[ID] => 9033
[post_author] => 2
[post_date] => 2020-06-16 09:31:10
[post_date_gmt] => 2020-06-16 13:31:10
[post_content] =>
What do manufacturers need to know when they select a cloud Product Lifecycle Management (PLM) solution?
Although manufacturers have started to adopt cloud solutions for many aspects of their business, PLM has lagged behind. Our research shows that over one-half of manufacturers are considering cloud and about one-quarter already leverage the cloud support product innovation and manufacturing. Given the increased interest and adoption, we developed selection criteria to help companies navigate the options and choose the best-suited PLM cloud option for their business.
Please enjoy the summary* below. For the full research, please visit our sponsor PTC (registration required).
Table of Contents
Cloud PLM Adoption Increasing
PLM Benefits and Business Value
Increased Value/ROI of Cloud PLM
Buyer's Considerations
Choosing the Right PLM
Considerations for Product Developers
Considerations for IT
Considerations for Adoption
Review Deployment Options
Evaluate Pricing Options
Choose the Right Partner
Special Considerations
Conclusions and Recommendations
Acknowledgments
Cloud PLM Adoption Increasing
A Solution First Approach
Cloud solutions are becoming more popular, yet PLM adoption in the cloud has been slower than other applications. The transition, however, is picking up pace. In fact, more companies are now asking, "why not the cloud?" instead of "why consider cloud?". We commend that companies pick their solution first and then choose their deployment option. This is effectively a "solution first" approach as opposed to a "cloud first" approach. We find that companies are just not willing to shortchange functionality in this crucial area. They recognize it's important to evaluate the functional capabilities of a PLM system to ensure they'll gain the significant top- and bottom-line benefits that PLM delivers.
PLM Benefits and Business Value
Product Lifecycle Management (PLM) spans multiple levels, offering value in multiple ways. PLM basics help manage products, parts, collaboration and release processes which leads to important benefits including increased productivity, preventing errors, reduced cost, improved quality, enhanced reliability, and more.
Enterprise PLM expands that value by further helping companies develop, manufacture, and support their products. Our PLM Beyond Managing CAD study finds that expanded PLM use improves business performance, and that higher performing companies have more departments and third parties using PLM.
Get the Right PLM to Provide the Value
PLM drives tangible business value. This value is evolving and expanding quickly as companies pursue digital enterprise initiatives and expand the benefits to new business models capabilities. This value is available, but requires the right PLM system.
Conclusions and Recommendations
The Cloud Offers Compelling Benefits
The cloud makes the significant business value of PLM more accessible and reduces TCO for manufacturers. It offers new opportunities to enhance global reach and collaboration. But there are important things to consider when selecting a cloud PLM system, ranging from deployment options to considerations for certain industries and geographies.
Recommendations for Cloud PLM Selection
To help companies research and analyze potential solutions based on company needs, including needs that help deliver benefits well into the future, Tech-Clarity offers the following recommendations:
Evaluate functional solution capabilities first, unless company standards mandate a deployment approach.
After selecting the right functional solution, evaluate and select optimal deployment and pricing models that give your business the most benefit considering cost, risk, and time to achieve value.
Consider the strategic value of cloud solutions for global deployments to support “design anywhere, build anywhere” strategies.
Make sure to consider the future, including the transition to the digital enterprise. We believe that manufacturers that don’t digitalize will be at a competitive disadvantage.
Narrow down solutions based on these high level criteria to create a smaller list of solutions to evaluate.
Recognize that any solution selection process will require tradeoffs and understand which types of requirements are the most important to your company’s success and profitability
*This summary is an abbreviated version of the research 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] => Choosing the Right Cloud PLM (buyer's guide)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => right-cloud-plm
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:01
[post_modified_gmt] => 2022-11-15 03:28:01
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9033
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[14] => WP_Post Object
(
[ID] => 9103
[post_author] => 2572
[post_date] => 2020-06-07 21:50:47
[post_date_gmt] => 2020-06-08 01:50:47
[post_content] => Is structural analysis enough or should design engineers use CFD too?
This guest post on the Siemens Solid Edge Blog explores this question. With product complexity increasing, it is harder than ever for engineers to make the right decision decisions. Complexity comes from the ever increasing amount of components, configurations, and electronics. Consequently, greater complexity has also increased the importance of understanding additional physics. For example, it's critical to understand the interactions of airflow around electronics so that they do not overheat. This is where Computational Fluid Dynamics (CFD) fits in.
CFD helps analyze airflow, among other fluids, and can help you uncover common problems that lead to failure, beyond what only structural analysis does. With this in mind, how else can it help design decisions?
This guest post discusses the many ways Computational Fluid Dynamics can help engineers design better products.
To learn more, view the related webinar.
[post_title] => Why Should You Use CFD?
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => why-should-you-use-cfd-guest-post
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-09 19:49:11
[post_modified_gmt] => 2024-01-10 00:49:11
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9103
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[15] => WP_Post Object
(
[ID] => 8998
[post_author] => 2574
[post_date] => 2020-06-01 10:12:28
[post_date_gmt] => 2020-06-01 14:12:28
[post_content] => What step are many companies missing to ensure their Industry 4.0 initiatives succeed? Why Strategy Matters to Industry 4.0 Success discusses the importance of enterprise strategy. The right strategy makes even pilot projects more likely to live up to their potential. This eBook talks about how thinking big for enterprise transformation makes initiatives more pragmatic.
Please enjoy the summary* below. For the full research, please visit our sponsor, Critical Manufacturing (registration required).
Table of Contents
Making Industry 4.0 Pragmatic
Industry 4.0 Transformative Benefits
Making Industry 4.0 Approachable
Why Disconnected Efforts are Insufficient
Mindsets for Success
Continuous Improvement for Industry 4.0
Enterprise Needs
Enterprise Technology
Making it Scalable and Repeatable
Build an Enterprise Industry 4.0 Approach
Strategy to Accelerate Progress
Making Industry 4.0 Pragmatic
Small Steps Need Firm Ground in Strategy
How can manufacturers take realistic steps to pursue Industry 4.0? The obvious answer is: get started with small projects. Yet, that may not be the best answer. Research shows that half of industrial internet of things (IIoT) projects are failing. It appears something is missing.
According to research, that missing step is often setting an enterprise strategy for the transformation. Industry 4.0 is far broader than the manufacturing plant’s operations and processes. Every department plus the ecosystem of suppliers, distributors, and partners are involved. Only with an enterprise-level transformational strategy can manufacturers design, prioritize, and execute projects with assurance that they will build toward Industry 4.0. Companies must rely on what’s working, but also expand their view into the realm of what might be possible, even if it has not been to date.
Strategy to Accelerate Progress
Foundation for the FutureStrategy matters to Industry 4.0 success in several ways. Projects that have a clear context in strategy can deliver benefits not only locally, but roll out more widely and deliver enterprise benefits. Continuous Improvement (CI) progress can be smoother and more assured. With that clear strategic foundation, Industry 4.0 enables manufacturers to deliver higher value to their customers and markets now and into the future.
In short, Strategy Matters to Industry 4.0!
*This summary is an abbreviated version of the research and does not contain the full content. A link to download the full report is available here. If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Why Strategy Matters to Industry 4.0 Success (eBook)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => strategy_matters_industry_4-0
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:20
[post_modified_gmt] => 2022-11-15 03:28:20
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=8998
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[16] => WP_Post Object
(
[ID] => 9009
[post_author] => 2
[post_date] => 2020-05-29 08:41:20
[post_date_gmt] => 2020-05-29 12:41:20
[post_content] => How can you choose the right PDM system for your business to make sure you achieve your productivity, product success, and profitability goals? The product data management (PDM) Buyer’s Guide is a reference tool to provide direction on what to look for when selecting a PDM system for your company. This guide is composed of four sections covering software functionality, service requirements, vendor attributes, and special company considerations.
Please enjoy the summary* below. Please visit our sponsor PTC for the full research (registration required).
Table of Contents
Introducing the PDM Buyer’s Guide
The Product Data Management Imperative
Analyze PDM Capabilities
Assess Service Requirements
Consider Vendor Requirements
Identify Unique Company Needs
Prepare for the Digital Enterprise
Conclusion
Recommendations
About the Author
Introducing the Product Data Management 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, Dropbox, and hard drives are simply not good 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 for your business has a large impact on productivity, product success, and profitability.
Getting files under control so people can find the right revision with confidence
Making sure concurrent updates don’t overwrite each other to avoid “the last save wins” syndrome
Making information easily accessible and consumable to teams outside of Engineering for reviews and downstream processes
Safely sharing information with customers, partners, and the supply chain
Ensuring intellectual property (IP) is captured and securely accessible regardless of who stored it
Getting away from complicated shared drive structures that lead to errors
Making sure people don’t manufacture or purchase against the wrong drawing
Providing “one version of the truth” versus multiple copies of designs
Beyond these basics, there are special considerations for smaller companies and for the largest of enterprises. There are also special considerations for some industries. The guide addresses these and then goes beyond software functionality to focus on the entire experience of owning and operating the solution. The guide and associated checklists include product, infrastructure, implementation, service, and business requirements – all of which impact the benefits received and total cost of ownership (TCO) of PDM. 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.
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.
In addition, PDM is becoming the core 3D foundation for the digital enterprise, supporting advanced initiatives like the Internet of Things (IoT), model-based design (MBD), and three dimensional augmented / virtual reality. Modern PDM / PLM systems should enable a product digital twin that can serve as the central foundation on which to consolidate (or view) a variety of product-related data captured in systems across the enterprise. It’s important to consider these needs when selecting your software and ensure that your solution has the capability to expand with your growing needs.
Conclusion
PDM helps manufacturers address market complexity and improve business performance. As Tech-Clarity’s Managing Engineering Data concludes, “Product data management is the fundamental building block of any engineering software strategy and helps companies get the most out of their precious engineering resources.” 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 business continues to digitalize
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.
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.
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 evaluations
Consider using more simple, commodity technical solutions like cloud or managed services solutions for smaller companies, companies that wish to move quickly, or those with limited IT resources
Take user adoption into account, including simplified access and increased visualization for non-engineering resources
Consider using more full-featured, scalable solutions for larger organizations that have more demanding process and scalability needs and can afford the IT resources required to support capabilities such as site synchronization
Take into account long-term business and process growth needs including digitalization 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 research and does not contain the full content. You candownload the full report here. If you have difficulty obtaining a copy of the report, please contact us .
[post_title] => Product Data Management Buyer's Guide (buyer's guide)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => pdm-buyers-guide
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:01
[post_modified_gmt] => 2022-11-15 03:28:01
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9009
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[17] => WP_Post Object
(
[ID] => 8976
[post_author] => 2574
[post_date] => 2020-05-23 16:53:57
[post_date_gmt] => 2020-05-23 20:53:57
[post_content] => Can the most sophisticated manufacturing in the world get smarter? Join Julie Fraser in this session to challenge yourself. Consider what you don't already know in this session at Siemens Industry Software’s Realize Live virtual user conference. It is based on the paper Smart Manufacturing for Semiconductor she authored prior to joining Tech-Clarity. This session explores how exploding revenue opportunities come with challenges. To meet customer expectations and maintain margins, companies may need to adopt new approaches and technologies. This presentation has passed, please click here to watch the full session (registration required).
Key take-aways
Many new applications for semiconductors in the smart, connected world also lead to exceptional pressures on both fabs and backend operations. Julie will discuss a few of the concepts that many semiconductor companies have not yet leveraged to full advantage. In this session, you will hear how digital twin, modern comprehensive MES with integrated scheduling and quality, and advanced analytics can accelerate operations’ improvement efforts.
[post_title] => Its Time for Semiconductor to Smarten Up! (presentation)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => semiconductor-smarten-up-srl
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:26:26
[post_modified_gmt] => 2022-11-15 03:26:26
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=8976
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[18] => WP_Post Object
(
[ID] => 8945
[post_author] => 2572
[post_date] => 2020-05-15 13:33:41
[post_date_gmt] => 2020-05-15 17:33:41
[post_content] => In the second part of this two-part blog series, Michelle Boucher continues to explore the question, should you consider an agile methodology to support new product development, beyond just software?
Proceeding from the first part, which explained what agile is and two reasons for using the agile methodology, the second part provides three more reasons to consider an agile methodology:
Find Problems Sooner
Tap into the Expertise of the Complete Team
It Doesn’t Mean There Are No Requirements
Read the full guest post on the Siemens Solid Edge Blog.
[post_title] => 5 Ways Agile Improves New Product Development – Part 2
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => 5-ways-agile-improves-new-product-development-part-2-guest-post
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-09 19:53:49
[post_modified_gmt] => 2024-01-10 00:53:49
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=8945
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[19] => WP_Post Object
(
[ID] => 8936
[post_author] => 2572
[post_date] => 2020-05-13 12:20:04
[post_date_gmt] => 2020-05-13 16:20:04
[post_content] => How can companies mature their processes for designing smart products?
Tech-Clarity's eBook, Designing Smart Products Smartly: Increase the Maturity of Your Development Processes, explores this question. The combination of mechanics, electronics and software into today’s smart products have made them more responsive, adaptable, interconnected and portable than ever before. Incidentally, with customers expecting this type of technology in their products, the growth of smart products will not abate. Though smart products can create opportunities, they also introduce new challenges and complexity. To overcome these challenges, companies need to mature their development processes. This eBook reveals the steps manufacturers can take to mature their processes for designing smart products.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes (registration required).
Table of Contents
Improve Smart Product Development Maturity
Define the Target
Plan the Product
Validate Early and Often
Design by Discipline and Validate to Interfaces
Effectively Manage Change
Enable an Integrated Lifecycle View
Conclusions and Recommendations
Acknowledgment
Improve Smart Product Development Maturity
The Opportunities for Smart Products
Customers in nearly every industry find smart products compelling. It’s hard to compete with a car that drives and parks itself or a clothes washer that senses and adjusts to water conditions, fabric types, and dirt levels and schedules service when needed. Likewise, a medical device that monitors patient health and notifies a doctor when needed offers significant value. Benefits will increase even further as smart products become more aware and communicative as companies adopt strategies to support the Internet of Things (IoT) and technologies like 5G create even more opportunity for connectivity.
But There Are Challenges
However, the advantages of smart products come at a cost. Developing complex, intelligent products brings inherent complexity. Multiple design disciplines must synchronize their work across different design life cycles. Multiple configuration options add even more complexity. Tech-Clarity research identifies several challenges created by increased complexity, but more importantly shows there can be significant, negative business impact (see graph). [1]
To overcome these challenges, companies need to raise the maturity of how they develop smart products. Fortunately, our research shows that better processes and enabling technology improve results through the use of a platform for integration, visibility, and traceability for smart product development. Digital transformation is a large piece of making these practices a success and enabling technologies such as the cloud, platforms, and modern design tools can make adoption easier. This paper outlines a number of tangible steps to improve the development of smart products with proven best practices, technology, and digital transformation.
Conclusions
Create a Competitive Advantage
To beat competitors with smart innovations, companies must raise the maturity of their development processes and tools. This report suggests best practices for requirements management, systems design, simulation, interface management, and change management. There are others as well, but these processes are proven and can provide significant value today.
In addition to best practices, companies should implement a lifecycle-oriented platform to enable a cohesive, transparent product development process across disciplines. These solutions allow companies to implement best practices to take advantage of the compelling benefits of smart products without suffering from costly, negative impacts to quality and time-to-market.
Recommendations
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Follow proven best practices for developing smart products:
Create a single source of truth for requirements
Plan the product starting with architecture and develop a system model
Use multi-physics simulation early and often at both the system and component level to optimize and validate the design
Develop a common product definition with interfaces
Manage change by starting with an impact analysis across all disciplines
Leverage product innovation platforms to create an integrated lifecycle view
Implement the right tools to enable design, including simulation and systems design tools
Leverage lifecycle-oriented systems to integrate the various processes, people, and deliverables required to efficiently develop high quality, smart products.
[1] Boucher, Michelle, “Transformational Product Design,“ Tech-Clarity, 2017
*This summary is an abbreviated version of the research and does not contain the full content. A link to download the full research is available above.If you have difficulty obtaining a copy of the research, pleasecontact us.
[post_title] => Designing Smart Products Smartly: Increase the Maturity of Your Development Processes
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => designing-smart-products-smartly-increase-the-maturity-of-your-development-processes-ebook
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-09 20:09:50
[post_modified_gmt] => 2024-01-10 01:09:50
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=8936
[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] => 9858
[post_author] => 2
[post_date] => 2020-10-14 20:50:40
[post_date_gmt] => 2020-10-15 00:50:40
[post_content] => What should your company consider when transitioning to the cloud for innovation and engineering? Our new infographic identifies key considerations ranging from strategy through adoption.
See the infographics for some important factors related to strategy, functionality, governance, existing solutions, and your transition.
You can also learn more about cloud solutions from Siemens Digital Industries Software, our sponsor or view our video series sharing insights from our research and interviews including: Digital Transformation Progress with Bob Jones, Cloud Progress Report with Bill Boswell, and Siemens Digital Transformation Progress with Brenda Discher.
[post_title] => Cloud Readiness (infographic)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => cloud-readiness-infographic
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:26:09
[post_modified_gmt] => 2022-11-15 03:26:09
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=9858
[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] => 2af3ba9124d4cccb4d29d109e6d29fde
[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
)
)
What should your company consider when transitioning to the cloud for innovation and engineering? Our new infographic identifies key considerations ranging from strategy through adoption. See the infographics for some important factors related to strategy, functionality, governance, existing solutions, and your transition. You can also learn more about cloud solutions from Siemens Digital Industries Software, our…
What do manufacturers need to do to succeed and get results from their Industry 4.0 efforts? In this webcast, Julie Fraser revealed a few significant findings of research of over 300 companies on the topic of manufacturing data management. It’s a multi-faceted challenge in which people, processes, and technology all matter. This webcast explains the…
How do companies make progress toward Industry 4.0? Based on our research, those who invest in people, processes, and technology for manufacturing data management have made more strides in Industry 4.0. Manufacturing Data Management: Lessons from Top Performers explores the many challenges of bringing together all the data production facilities need. Please enjoy the summary*…
Are mobile devices ready for CAD? Is CAD ready for mobile devices? When should you consider use cases for CAD on a tablet? CAD tools have evolved significantly over the last several decades, which has coincided with several platform shifts. With the advancements in tablets combined with evolutions in CAD, we may be at the…
How are companies adjusting their strategies to survive COVID-19 disruption without losing sight of long-term business sustainability? Read our survey of over 190 companies to find out how they are prioritizing limited resources to maintain focus on success factors including: Addressing changing business models Adopting new technology Protecting the environment Please enjoy the summary* below….
What software capabilities will help you improve how you integrate mechanical, electronics, and electrical designs? Tech-Clarity’s buyer’s guide, How to Select the Ideal Solution for Today’s Smart Products: Buyer’s Guide for Electrical Design, explores this question. As companies strive to make modern products smarter, innovative and more affordable, the integration of mechanical, electrical and electronic…
What does effective storytelling have to do with succeeding with Industry 4.0? Plenty. With the right narrative by level and function, the whole company can engage with Industry 4.0 strategy. At that point, everyone, whether top-level management or shop-floor workers, can buy-in. Once they do, they can participate effectively in setting the standards required to…
How can schools best prepare today’s STEM students to close the engineering skills gap so that new graduates are ready for the real world? Tech-Clarity’s research report, “How Academia Can Close the Engineering Skills Gap in the Age of Digitalization” explores this question. This research shares a global perspective on what colleges and universities are…
What should supply chain-centric innovators consider when looking for PLM? How has the PLM landscape changed over the last several years, and how does SaaS fit into that picture? Please enjoy the summary* below. For the full research, please visit our sponsor, Upchain (registration required). Table of Contents The State of Cloud PLM Why Cloud SaaS is…
Where should mold makers focus to boost business profitability? With significant business pressures and the technical complexity of injection molding, mold making is a challenging business. While tool makers face many obstacles, those surveyed identified five top challenges that make it harder to maintain a successful business. This blog post reveals these top five challenges,…
How can manufacturers most effectively design, develop, and launch custom-engineered products that must be engineered to customer specifications? Tech-Clarity’s eBook, Bringing Custom-Engineered Products to Market, shares survey data from over 200 companies to offer insights and best practices. Please enjoy the summary* below. Click here for the full report, thank you to our sponsor Propel (registration…
Are your production approaches as smart as they are sophisticated? Before you answer, consider whether all the information about each aspect of the fab is readily available. Imagine the benefits in flexibility, quality, costs, agility, speed, confidence… this is the vision of smart manufacturing. To capture today’s myriad opportunities, these improvements are essential. The good…
What is needed for manufacturers to improve the maturity of BOM-related processes to help to manage complexity, improve efficiency, prevent mistakes, and enhance collaboration across departments and the supply chain? Read our buyer’s guide to find out. Please enjoy the summary below. Click here for the full report, thank you to our sponsor PTC. …
What do manufacturers need to know when they select a cloud Product Lifecycle Management (PLM) solution? Although manufacturers have started to adopt cloud solutions for many aspects of their business, PLM has lagged behind. Our research shows that over one-half of manufacturers are considering cloud and about one-quarter already leverage the cloud support product innovation…
Is structural analysis enough or should design engineers use CFD too? This guest post on the Siemens Solid Edge Blog explores this question. With product complexity increasing, it is harder than ever for engineers to make the right decision decisions. Complexity comes from the ever increasing amount of components, configurations, and electronics. Consequently, greater complexity…
What step are many companies missing to ensure their Industry 4.0 initiatives succeed? Why Strategy Matters to Industry 4.0 Success discusses the importance of enterprise strategy. The right strategy makes even pilot projects more likely to live up to their potential. This eBook talks about how thinking big for enterprise transformation makes initiatives more pragmatic….
How can you choose the right PDM system for your business to make sure you achieve your productivity, product success, and profitability goals? The product data management (PDM) Buyer’s Guide is a reference tool to provide direction on what to look for when selecting a PDM system for your company. This guide is composed of…
Can the most sophisticated manufacturing in the world get smarter? Join Julie Fraser in this session to challenge yourself. Consider what you don’t already know in this session at Siemens Industry Software’s Realize Live virtual user conference. It is based on the paper Smart Manufacturing for Semiconductor she authored prior to joining Tech-Clarity. This session…
In the second part of this two-part blog series, Michelle Boucher continues to explore the question, should you consider an agile methodology to support new product development, beyond just software? Proceeding from the first part, which explained what agile is and two reasons for using the agile methodology, the second part provides three more reasons…
How can companies mature their processes for designing smart products? Tech-Clarity’s eBook, Designing Smart Products Smartly: Increase the Maturity of Your Development Processes, explores this question. The combination of mechanics, electronics and software into today’s smart products have made them more responsive, adaptable, interconnected and portable than ever before. Incidentally, with customers expecting this type…