Making the value of technology clear
Increasing Product Complexity
Harder targets are made even more challenging because of increased product complexity. Equipment is more electrified, autonomous, connected, and configurable than ever. Companies must adopt systems, and systems-of-systems, engineering approaches. At the same time, manufacturers are adopting new materials such as composites, advanced manufacturing methods including additive manufacturing, and innovative design techniques such as generative design. These innovations create designs that can’t be easily validated using historical tests and product performance, demanding new approaches.
Simulation is Critical, but not Enough
Computer Aided Engineering (CAE) has clearly helped manufacturers overcome complexity and reach new performance levels. But the time has come to explore new digital technologies. Traditional simulation benefits may no longer meet the demands of digitalization trends.
In order to get products right the first time, and to “shift left” optimization to get to the best design faster, companies have to be able to predict equipment performance in a variety of facets, including:
What do industry experts and your manufacturing peers have to say about smart manufacturing? Join this live event on April 28th in Cleveland, Ohio to find out.
Our own Jim Brown will keynote the conference, sharing his views on how manufacturers can “bounce forward” from recent disruptions with smart manufacturing solutions. Then you’ll hear from a host of great speakers and have the opportunity to join roundtable sessions to learn from the presenters, panelists, and peers alike.
And if that’s not enough, the Cleveland Manufacturing event starts with lunch and is followed up with a happy hour. Join us to share your experience and learn from others.
List of speakers:
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.
Executive Summary
What makes it so difficult to manage operations data and achieve AI success in batch process industries? There are many valid answers, and it’s crucial to address them all. In this white paper, we explore special issues around mindset, complexity, multiple disciplines, and a variety of dispersed data. We also address how these batch process issues intersect with the five main facets of data management.
Click here for the full report (no registration required), courtesy of our sponsor, Quartic.ai.
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).
This guide identifies key steps life sciences companies must take to implement best practices and improve tech transfer performance:
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:
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 and How to Engineer High-Performing, Quality Products without Extra Cost.
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
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).
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).
How do you manage system family engineering?
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).
New Semiconductor Imperatives
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.
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:
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.
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.
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.
Technology 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 Readiness
Setting 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.
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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:
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:
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:
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.
Research for this report leads our analysts to the following conclusions:
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:
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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 podcast to 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:
Competition 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 More
To 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.
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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:
You can also learn more from the underlying research study, Filling Digital Transformation Gaps with Low-Code.
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How can increasing performance engineering maturity help manufacturers ensure they’ve fully optimized equipment performance? How does “shifting left” with simulation and closed-loop feedback help improve performance without compromising project due dates?
Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required).
Increasing Product Complexity
Harder targets are made even more challenging because of increased product complexity. Equipment is more electrified, autonomous, connected, and configurable than ever. Companies must adopt systems, and systems-of-systems, engineering approaches. At the same time, manufacturers are adopting new materials such as composites, advanced manufacturing methods including additive manufacturing, and innovative design techniques such as generative design. These innovations create designs that can’t be easily validated using historical tests and product performance, demanding new approaches.
Simulation is Critical, but not Enough
Computer Aided Engineering (CAE) has clearly helped manufacturers overcome complexity and reach new performance levels. But the time has come to explore new digital technologies. Traditional simulation benefits may no longer meet the demands of digitalization trends.
In order to get products right the first time, and to “shift left” optimization to get to the best design faster, companies have to be able to predict equipment performance in a variety of facets, including:
How can increasing performance engineering maturity help manufacturers ensure they’ve fully optimized equipment performance? How does “shifting left” with simulation and closed-loop feedback help improve performance without compromising project due dates? Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required). Table of Contents The Performance Engineering Imperative Predicting…
What do industry experts and your manufacturing peers have to say about smart manufacturing? Join this live event on April 28th in Cleveland, Ohio to find out. Our own Jim Brown will keynote the conference, sharing his views on how manufacturers can “bounce forward” from recent disruptions with smart manufacturing solutions. Then you’ll hear from…
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…
What makes it so difficult to manage operations data and achieve AI success in batch process industries? There are many valid answers, and it’s crucial to address them all. In this white paper, we explore special issues around mindset, complexity, multiple disciplines, and a variety of dispersed data. We also address how these batch process…
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…
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