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…
- How today’s manufacturers are leveraging cloud PLM to support their digital transformation initiatives
- The business triggers that lead to upgrading current PLM solutions
- The compelling benefits of cloud and architecture choices that need to be made
- How low-code PLM can support digital transformation
Table of Contents
- Executive Summary
- The Manufacturer's Viewpoint on PLM
- The Need to Upgrade PLM
- Cloud is Compelling
- Evaluating PLM Deployment Options
- Out-of-the-Box (OOTB) is a Fallacy
- Functionality First
- Cloud and Custom Aren't Incompatible
- Key Takeaways
- Acknowledgments
Executive Summary
Digital Transformation Demands New Capabilities, Agility Digital transformation is intensifying the need to tailor PLM systems to serve as a company’s digital backbone and support new ways of innovating and operating. Engineers need the latest features and capabilities, but also need to keep the “right-for-me” PLM capabilities they already have. PLM solutions that are customized to achieve these goals, however, can create an ongoing need for specialized services that can limit agility and prevent adoption of new features and software versions. Transitioning to the Cloud Cloud solutions are compelling but are not commonly as tailorable as traditional solutions to provide a customized experience. Cloud offers numerous business and technical advantages including lower costs, less need for IT support, strong security, high availability, and practically infinite scalability. The tradeoff is typically a more out-of-the-box (OOTB) solution with lower ability to customize to enforce company standards and provide the right experience to the end user. "Cloud" and "Customization" can Co-Exist Our experience shows that most PLM implementations are not OOTB, especially for large organizations. This creates tension between cloud benefits and creating the new digital backbone and a “right-for-me” experience. As our experience and the research for this eBook shows, however, the right balance between cloud benefits and desired customization may be available through the emerging alternative to customization, low-code / no-code development.Evaluating PLM Deployment Options
Cloud Comes in a Variety of Options Cloud is compelling, but “the cloud” is not a single option. There are multiple ways to implement PLM. Let’s look at the impacts of the different options on factors like cost, agility, and the ability to customize for the “right for me” experience. Note that these are generalizations and we recognize that there are exceptions to every rule.
Key Takeaways
Research for this report leads our analysts to the following conclusions:
- PLM is becoming the digital backbone for manufacturers’ digital transformation strategy
- Most engineers prioritize PLM functionality and the “right-for-me” experience over cloud benefits. Traditional customization approaches lead to large technical debt and can result in dead-end customizations.
- PLM is a business imperative, and like the business, it’s a moving target. It’s important to have the ability to adapt the PLM system as needs change, to remain agile, without adding technical debt.
- Cloud and customization can both be options at the same time. The right PLM architecture can provide cloud benefits while also enabling customization without incurring significant technical debt.
Would you like to learn more about one of the fastest growing best practices for systems engineering, MBSE: The Unsung Hero?
Michelle Boucher joined an expert panel to discuss MBSE as the unsung hero of systems engineering and a key enabler of innovation in complex products. The panel discussed:
- How MBSE is different
- The value of a model-based approach vs. document-based
- Success factors for a model-based approach
- Challenges to look out for
- Advice to implement it
- Shelly Kramer, Lead Analyst and Founding Partner, Futurum Research
- Jim Anderton, Director of Content, engineering.com
- Douglas Orellana Ph.D, CSEP, OCSMP, ITIL4, SPC5, Vice President of Intelligent Systems Engineering, ManTech
- Michelle Boucher, Vice President of Research for Engineering Practices, Tech-Clarity, Inc
- Saulius Pavalkis, Industry Business Senior Consultant and MBSE Transformation Leader, CATIA Dassault Systèmes
- Sept. 22: Digital Transformation-Where Do We Go From Here?
- Sept. 23: How Manufacturing Success starts with Virtual + Real Operations
[post_title] => MBSE: The Unsung Hero
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => mbse-virtual-event
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-08 21:52:01
[post_modified_gmt] => 2024-01-09 02:52:01
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10883
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[2] => WP_Post Object
(
[ID] => 10875
[post_author] => 2574
[post_date] => 2021-09-16 12:26:01
[post_date_gmt] => 2021-09-16 16:26:01
[post_content] => - Lower Six Manufacturing Costs with IoT (eBook)
- What is the Cost of Poor Quality in Your Environment (guest blog post)
- How Advanced Analytics in Manufacturing Can Lead to Cost Cuts (guest post)
Understanding MBSE: Your Secret Weapon for System Complexity
Staying Competitive Has Led to Increased Complexity
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.
[post_title] => Understanding MBSE
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => understanding-mbse
[to_ping] =>
[pinged] =>
[post_modified] => 2024-01-08 21:57:29
[post_modified_gmt] => 2024-01-09 02:57:29
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10851
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[4] => WP_Post Object
(
[ID] => 10833
[post_author] => 2
[post_date] => 2021-09-10 14:26:55
[post_date_gmt] => 2021-09-10 18:26:55
[post_content] =>
How can you navigate digitalization challenges in a way that will evolve with current and future needs? Join this webcast where we’ll share the results of Tech-Clarity’s research on how manufacturers accelerate digital transformation with low-code applications, and Siemens’ Christopher Merz will share practical experience from the field.
You will learn:
- The importance of digital transformation to business strategy
- The impact of digitalization on existing applications
- Which transformation initiatives generate the most gaps
- Common challenges developing apps
- The benefits of a low-code development approach
You can also learn more from the underlying research study, Filling Digital Transformation Gaps with Low-Code.
[post_title] => Solve Digital Transformation Gaps with Low-Code (webcast)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => low-code-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2024-09-09 20:47:47
[post_modified_gmt] => 2024-09-10 00:47:47
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10833
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[5] => WP_Post Object
(
[ID] => 10810
[post_author] => 2
[post_date] => 2021-09-08 13:12:57
[post_date_gmt] => 2021-09-08 17:12:57
[post_content] =>
What is more important to meeting new product development due dates, individual engineering productivity or product development efficiency? We surveyed over 160 companies to find out.
Please enjoy the summary below.* For the full report, please visit our sponsor SOLIDWORKS (registration required).
Table of Contents
- Executive Overview
- Individual Productivity or Process Efficiency?
- The Impact of Product Development Efficiency
- Process Efficiency from Better Collaboration and Coordination
- Process Efficiency from Data Management
- How Can Companies Improve NPD Performance?
- Top Performers Have Better NPD Coordination, Collaboration
- Top Performers Have Digital Data Continuity
- Top Performers Have a Cohesive Product Data Model
- Recommendations and Next Steps
- About the Research
- Acknowledgments
Executive Overview
Manufacturers Consistently Miss NPD Targets New product development (NPD) speed and agility have a clear impact on competitiveness and product profitability. Unfortunately, an earlier Tech-Clarity study found that manufacturers miss project launch dates 45% of the time2. The research also showed that time-to-market demands had increased for about two-thirds of manufacturers. Engineering Inefficiency is a Big Issue New product development (NPD) speed and agility have a clear impact on competitiveness and product profitability. Unfortunately, an earlier Tech-Clarity study found that manufacturers miss project launch dates 45% of the time2. The research also showed that time-to-market demands had increased for about two-thirds of manufacturers. Identifying Best Practices in NPD Is improving engineering efficiency enough to solve the long-time issue of missed product development dates? We believe there is more to this puzzle. We analyzed survey responses from 167 companies and identified those that were better able to develop products rapidly and efficiently while maintaining product development agility. Then, we analyzed what these “Top Performers” do differently than the poorer-performing “Others.” Top Performers Streamline NPD with a Cohesive Digital Thread Researchers found that the Top Performers are more likely to streamline their NPD process by creating digital continuity. In specific, they are twice as likely as Others to have full digital data continuity across phases or steps in their product development process. In a related finding, they are 37% more likely to leverage a common data model across the stages of new product development. This common product definition with full digital continuity creates a cohesive digital thread. The report explains these findings in depth and shares additional capabilities that Top Performers have mastered more than Others. Read more to learn how your company can improve NPD performance and profitability.Individual Productivity or Process Efficiency?
Time-to-Market Takes More Than Individual Productivity
First, let’s be clear that manufacturers can’t choose between individual engineering efficiency and product development speed and agility. They are clearly inextricably related. NPD relies on efficient and effective engineering, but developing a successful product requires input and coordination from multiple disciplines, departments, and the supply chain. Process and project-level challenges can cause productivity loss on a grand scale.
Process Efficiency Outweighs Individual Productivity
When it comes to meeting product development due dates, inefficient NPD processes can make even the most efficient engineering teams miss time-to-market objectives. Researchers asked what has a larger positive impact on meeting product development due dates:
- Productivity of individual contributors (designers, engineers, etc.)
- Overall process efficiency (workflows, project execution, collaboration, coordination, working as a team, etc.)
- Both equally
Recommendations and Next Steps
Improve Product Development Capabilities, Drive NPD Results Clearly, manufacturers can’t choose between engineering efficiency and product development speed, productivity, and agility. They need both. In addition to reducing non-value-added work in engineering, they must adopt the Top Performers’ best practice processes in order to improve new product development speed, efficiency, and agility. The challenges and benchmarked capabilities lead us to recommend that manufacturers should streamline new product development with full digital continuity on a common data model, creating a complete digital thread to improve NPD performance. To do this, they should adopt best practice processes and technology. Streamline Processes and Transitions Manufacturers should streamline transitions between project phases by:- Implementing formal, cross-departmental processes
- Providing cohesive design and product development data needed for reviews, approvals, and change management
Manufacturers should leverage a product innovation platform that streamlines product development by:
- Providing a common data model and digital data continuity across product design and development phases
- Promoting communication and collaboration across departmental boundaries and encouraging project-level coordination
Transcript:
Jim: Welcome to not your typical industry interview, where we ask industry experts some questions that are really important. And then add in a few that maybe are just there for fun. Today, I'm joined by Paul Brown. He's a longtime industry friend and industry expert, and also the senior marketing director at Siemens digital industry software. Paul, welcome. Paul: Hi Jim, good to talk to you. Jim: So Paul, I think people are still learning a lot about the cloud for product innovation, product development and engineering, what are some of the misconceptions that you still find companies have about the cloud? Paul: Well, I think the biggest misconception is that it's an either or discussion. They will either say, "I think, it's cloud, or it's desktop?" And the answer really is using the right tools at the right time, in my processes, and being able to mix them, being able to share data between the two. It's not a one or other discussion. That's the important thing. And I think that's the big misconception people have. Jim: How did you first know that you were either blessed or cursed with the engineering gene, depending on how you look at it? Paul: Well, that was... When I was a kid, one of the things that I absolutely was addicted to was a thing that we called it... over here, it's called Meccano. I think, in the US it's Erector. It’s the sets, strips of steel, nuts and bolts, and you... And I would spend hours building stuff. I just loved it. Jim: Yeah, I think the people today, as they're growing up, they'll probably have the Lego set with a Raspberry Pi, that's probably cloud connected to their smartphone. And that's their Meccano or Erector set. Do you think the overall mood or view of cloud for product innovation, product development, and engineering software has changed? We definitely have seen an increased interest in adoption. But do you think that just the feeling has changed about it? Paul: Oh, absolutely. I think, as the current situation, the world situation has evolved, companies have been faced with this challenge about how do I work with my people at home? Here in the UK, we're still in lockdown. They're still all the rules that say, don't go into the office unless you absolutely have to. So companies have to carry on, on how they can run their business with their workforce working from home distribute... I want secure access to data, I want people to be able to carry on doing their jobs, but without risking my information going around. Sending memory sticks home is not an answer to collaborative design. So, leveraging the cloud for those sorts of things. And I think people are recognizing that cloud based technologies, using the cloud in that way, is allowing businesses to carry on and thrive in this environment. Jim: Yeah, we've actually got some research that shows that the impact of the pandemic has actually been an acceleration and increased focus on digital transformation, and in the cloud. So, certainly things are changing more quickly than they had been. Paul, when did you realize how different today's smart cloud connected products are than traditional products? Paul: It was about three and a half years ago. Now, I had actually had some say, what for me was major surgery. For the doctors, they actually... Doc told me, "Don't worry, it's minor surgery. You don't have to worry about it. It's absolutely fine that... Yeah, a heart bypass. Yeah, we do these every day." But what happened obviously, after that I was in my recuperation, and I like cycling, I'm very keen on cycling. And one of my goals was getting back on my bike, and I started back on the bike indoors. Now I have a friend who's also a coach who sets me kind of programs to do, and he was helping me plan out my recovery. I'd got on the bike one evening, I did an hour, and I'd stopped; literally, within a minute of me stopping, he sent me a text message that said, "I never told you... I thought I told you to keep your heart rate below 140." Because not only on the app, he had gone up to the cloud, he had come back to his device, he had seen I'd done a workout. He had seen what cadence I'd done, what my heart rate had been... How my heart rate had varied throughout that hour, through the whole thing, and how much power I'd been putting out. He saw all those measurements on his phone, and so then he sent me a message to tell me that I was pushing too hard and I should be, I should be more patient. So that was it, he was like, "Wow, you cannot avoid that." And that was when I started saying, "Okay, that's the power of all this internet, interconnected technologies and cloud based apps." Jim: Great. Paul, thank you so much for sharing your views, always a pleasure and I always learn something. Paul: My pleasure. Thanks for talking Jim, speak to you again soon. Jim: Thanks for joining us today on the web show where we ask industry experts mostly the wrong questions. It's been a lot of fun. I'd like to thank our sponsor, Siemens. You can learn more about cloud software for product innovation, product development, engineering, and other industrial needs by visiting Siemens Digital Industry Software. Thanks for coming. [post_title] => NYT Cloud Perceptions Discussion with Siemens’ Paul Brown (video) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => nyt-cloud-perceptions [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:29:24 [post_modified_gmt] => 2022-11-15 03:29:24 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=10791 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [7] => WP_Post Object ( [ID] => 10787 [post_author] => 2577 [post_date] => 2021-09-04 10:47:30 [post_date_gmt] => 2021-09-04 14:47:30 [post_content] =>
How can a customized PLM system be moved to the cloud and avoid becoming stuck in a dead-end? Join James White, VP Digital Innovation Research, Tech-Clarity, and Mark Reisig, VP of Product Marketing, Aras Corporation, as they discuss:
- How today’s manufacturers are leveraging cloud PLM to support their digital transformation initiatives
- The business triggers that lead to upgrading a custom PLM solution
- The compelling benefits of cloud and the choices that need to be made
- Merging the operational phase of the product lifecycle with the voice of the customer
- Closing the loop to deliver a true customer-centric product experience
- Integrating product and customer experience elements from several underlying systems
[post_title] => Extending the Digital Thread to the Customer Experience (webcast)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => customer-experience-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:27:07
[post_modified_gmt] => 2022-11-15 03:27:07
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10769
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[9] => WP_Post Object
(
[ID] => 10761
[post_author] => 2574
[post_date] => 2021-08-12 12:57:48
[post_date_gmt] => 2021-08-12 16:57:48
[post_content] =>
What’s the one constant for manufacturers today? Change.
The market is uncertain, and disruptions continue. Manufacturers cannot control demand for their products. Yet, with the right foundational technologies, they can respond confidently.
Hear Tech-Clarity’s Julie Fraser, VP of Research for Operations and Manufacturing at Tech-Clarity, and Allan Fine, Manager Sage X3 Field Sales Engineers, as they discuss technologies to boost success. Specifically, they will address planning and scheduling in the face of constant change. They will highlight better ways to utilize production capacity and manage inventory. Another concept they will discuss is the benefit of knowing the current status as well as projecting scenarios to keep the supply chain in sync with ever-changing realities to respond confidently.
View the this webcast on-demand on the Sage X3 website. Click the white box on the left in the top blue banner.
[post_title] => 3 Ways Manufacturers Can Respond Confidently in the Face of Unpredictable Demand (webcast)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => respond-confidently-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:27:07
[post_modified_gmt] => 2022-11-15 03:27:07
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10761
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[10] => WP_Post Object
(
[ID] => 10737
[post_author] => 2
[post_date] => 2021-08-09 19:19:14
[post_date_gmt] => 2021-08-09 23:19:14
[post_content] => What does a long-time software industry insider think about the engineering software market’s rapid transition to the cloud? What interesting insights can we glean about Taxal Limited’s Allan Behrens during this (Not Your Typical) tech interview? Don’t miss this episode of (NYT) Tech Interview, the series where we have some fun by asking important market questions and then throw in a few others to learn more about our industry experts.
Watch this edition to see how we found out that Allan is not just another pretty face but has some real technology skills!
[embed]https://www.youtube.com/watch?v=i0F_YLNMGZw[/embed]
For more information on industry readiness for the cloud, please see the first video of this series, (Not Your Typical) Cloud Interview with Siemens’ Paul Brown.
For more information on cloud migration, please see the second video of this series, (Not Your Typical) Cloud Migration Interview with Schnitger Corp’s Monica Schnitger.
For more information cloud perceptions, please see the fourth and final video of this series, (Not Your Typical) Cloud Perceptions Discussion with Siemens' Paul Brown.
To get insights into your own company’s cloud readiness please check out our Cloud PLM Advisor.
Transcript
Jim: Hi, this is Jim Brown, and welcome to Not Your Typical Tech interview, where we ask a lot of interesting questions about work but also try to get to know our tech experts a little bit better. Today, I've got a great opportunity to talk to Alan Behrens, he's the Managing Director of Taxal Limited. He's an analyst, advisor, and researcher with broad experience in the IT industry, and today we're going to talk about how manufacturers are transitioning to the Cloud and what they should think about for their product innovation and engineering solutions. Sit back, get some popcorn. Alan, welcome. It's great to see you. Allan: Hi, Jim, good to be here. Jim: Alan, what shifts have you seen manufacturers make in terms of product innovation, engineering, and industrial software over the last year or so? Allan: Well, I think there's a lot more focus on collaborative technologies and making sure that people can work remotely, and I think that's sort of part of it is brought to top of mind, Cloud-based solutions, collaboration software, lifecycle management, digital thread management over wide area networks in particular. A lot of companies in the software industry have done a good job in shifting their focus to helping people manage the current crisis. Jim: What was the first thing you ever hacked? And hacking in a good way, I'm not using that in an illicit way. Allan: Right, so... Okay, there's two sides to this. One is when I was a student, I wrote my own word processor for a computer I designed on Motorola 6802 to do my final year thesis. So that's when I was a student. When I was at work, I suppose the first hacking I did was I worked for Hewlett Packard, HP, and we worked on logic analyzers and microprocessor development systems, and I used to write machine code to play games on their systems at night. Jim: I thought you were just a pretty face. I used to actually know what I was doing. Jim: How should companies think about the transition to cloud software from maybe some other traditional solutions? Allan: So I think the answer to that is the question. So it might be a transition, but it's really about the job you've got to do, right? Think about the job you've got to do. What are the benefits of the solution you're looking at? Cloud has got some great benefits on cost, on maintenance, on certain security aspects. There are many benefits of cloud, but what you need to do is make sure you're getting the right solution to do the right job. Make sure that it fits the workflow that you need it to fix, not necessarily the workflow you had, but the one that you need for the future. Jim: Alan, what is your favorite web browser? Allan: I've gone back to Chrome after being on Edge for a number of years, purely because there are certain things in Chrome that just don't work on Edge yet. So yeah, I would say Chrome. Jim: Alan, do you think there are any misconceptions about moving to the cloud for product innovation, product development and engineering software? Allan: Well, I think there are some misconceptions. I think there are some fears.. You know, people talk about fear, uncertainty and doubts. And I think there are a lot of people who make heavy on that particular aspect. I think you've got to look at what things can do for you. Software these days, whether it's cloud-based or native on your PC is good software. Generally, software these days is much more robust than in the good old days, so don't listen to other people. Look at it yourself. Try it yourself. A lot of companies allow you to try their software actually, so do it, try it, it's easy. Software these days, isn't as difficult as it was in the past to try especially cloud based. Jim: What was your first computer? Allan: So my first computer was a BBC Acorn microcomputer, which was developed for a program on technology in the UK, supported by the BBC. It was a computer that you're allowed to hack basically. Jim: What did it look like? Allan: It was just like the first Apples, to be honest. But you could take the top off, you could add chips, you could modify it, you could... It had IO as well. I mean, it was a very sophisticated machine and it was open so you could access the operating system and peripherals and all that. It was a very interesting computer. Jim: Alan, thanks for joining. I know we've known each other for a while, but I feel like even I learned a few new things about you today, so thanks for having fun with it. Allan: Appreciate it, Jim, thank you. Jim: Thank you for joining the web show where we ask maybe some important questions, and a couple of questions just to get to know people a little bit better. I'd like to thank our sponsor, Siemens. If you'd like to learn more about transitioning, product innovation, product development and engineering software to the cloud, you can learn a lot more from their website [post_title] => NYT Cloud Market Shift Interview with Allan Behrens (video) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => nyt-cloud-market-transition [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:29:24 [post_modified_gmt] => 2022-11-15 03:29:24 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=10737 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [11] => WP_Post Object ( [ID] => 10725 [post_author] => 2 [post_date] => 2021-08-09 19:03:39 [post_date_gmt] => 2021-08-09 23:03:39 [post_content] => How can companies increase profits from smart products? Join our smart product webcast with PTC where we’ll review real data from our recent survey on companies’ level of involvement with smart products, quantified business results, and the opportunities and challenges of pursuing a smart products strategy.
Register now to learn more insights on August 17th at 12 PM EST.
For related research, please read Profiting from Smart Products to learn how manufacturers can differentiate and grow profitability as smart products become the new norm.
[post_title] => How to Profit from Smart Products (webcast)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => smart-products-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:27:06
[post_modified_gmt] => 2022-11-15 03:27:06
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10725
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[12] => WP_Post Object
(
[ID] => 10709
[post_author] => 2
[post_date] => 2021-08-04 12:08:31
[post_date_gmt] => 2021-08-04 16:08:31
[post_content] => Smart products are the new norm. How can manufacturers differentiate and grow profitability as even their smart products become commodities?
Our survey of over 150 companies shows that manufacturers are targeting much larger goals as they mature their smart product strategies beyond their products by adopting smart, connected, digital business models.
Please enjoy the summary* below. For the full research, please visit our sponsor PTC.
You can also register for a webcast sharing the results.
Table of Contents
- The Smart Product Imperative
- The Continuing Smart Product Revolution
- What's Driving Smart Products?
- Beyond Smart Equipment to Digital Business Models
- Multi-faceted Business Benefits
- Smart Products Improve Profitability
- Business Challenges
- Technical Issues
- How Can Companies Improve Performance?
- What Do Top Performers Do Differently?
- Top Performers Have More Integrated Systems
- Conclusions
- About the Research
- Acknowledgments
The Smart Product Imperative
Smart Products are Mandatory
Our research on smart products has clearly shown the importance and expected growth of smart products. Since our earlier studies, our experience shows that companies have been aggressively transitioning to smarter products as predicted. At this time, survey respondents clearly indicate how critical the transformation has become. A full 86% of respondents indicate that smart products are important to support the long-term success and profitability of their company. Over one-third say they are critical.
Smart Product Requirements are Expanding
The move to smart products, however, is a journey. Not all companies with smart products have reached their full potential. Already in 2017, our research showed that over one-half of companies developing smart products feared losing market share unless they continually made products smarter2.
Are Smart Products Enough?
At this time researchers set out to investigate whether even making products “smarter” is enough to continually leverage smart products for profitability. There is a wide variety of maturity in how these products are used to drive value. We believe that smart products merely set the stage for even greater levels of business value unlocked by new, digital business models. Let’s take a look.
How Can Companies Improve Performance?
Identifying the Top Performers Researchers used our performance banding process to understand what companies that excel at profiting from smart products do differently. Respondents were asked to compare their performance as compared to their competition over the prior 24 months in a number of business metrics for smart products:- Revenue growth
- Profit margin expansion
- Service cost reduction
- Customer retention
Quantifying the Advantage
Researchers quantified the reported performance advantages by comparing the profitability improvements of the Top Performers as compared to the Others.
They found that Top Performers have, on average, increased revenue by 43%. That’s twice as much as Others. They have also decreased cost by about 11% more than Others. Clearly, these companies are doing something differently.
Identifying Best Practices
Researchers examined the practices, capabilities, and technology of the Top Performers in order to understand what they do differently. They found important differences in the capabilities and technology that reflect higher maturity related to smart products. Then, they used this information to make recommendations to Others to improve their own performance.
Conclusions
Smart Products are Mandatory Smart products are important or critical to the long-term profitability of most manufacturers. The vast majority of companies surveyed have transitioned to smart products and about one-half of their equipment, devices, and machines are smart. The Benefits are Compelling The transition to smart products provides significant business benefits, including double-digit revenue increase and cost reduction. The leaders, the Top Performers, are gaining even more significant gains from smart equipment, including on average:- 43% revenue growth
- 20% cost reduction

How can engineers improve efficiency, personal productivity and find the information they need faster? Join this live Onshape webcast with James White, VP of Digital Innovation Research at Tech-Clarity; Theo Richardson, founding partner and Director of Development at Rich Brilliant Willing (RBW); and Dave Corcoran, Head of Products at Onshape to gain insight into how top performing companies overcome the challenges of legacy file-based CAD and PDM systems.
Register now to gain insight into how top performing companies overcome the challenges of legacy file-based CAD and PDM systems.
For related research, read Accelerating Product Development with the Cloud.
[post_title] => Transforming CAD Data Management
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => cad-data-management-webcast
[to_ping] =>
[pinged] =>
[post_modified] => 2023-12-15 13:38:13
[post_modified_gmt] => 2023-12-15 18:38:13
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10685
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[14] => WP_Post Object
(
[ID] => 10670
[post_author] => 2574
[post_date] => 2021-07-19 13:31:58
[post_date_gmt] => 2021-07-19 17:31:58
[post_content] =>
Could medical device companies improve both patient outcomes and profit? Yes, and Predictive Quality for Medical Devices: Comprehensive Data to Move Risk-based Approaches into Production discusses how to modernize the quality system for best results. The predictive approach to quality is proactive and requires strong manufacturing data management. The report includes insights from executives at medical device companies already making strides toward these improvements.
For related research, please read The Manufacturing Data Challenge.
Please enjoy the summary* below. Please visit our sponsor, Critical Manufacturing, for the full research (registration required).
Table of Contents
- Predictive Quality
- Risk-based Approach
- The Next Level of Risk-Based Approaches
- Feedback Loops
- Data Flows for Good Decisions
- Manufacturing Data Platform
- Advanced Quality Analytics
- Predictive Quality Recommendations
- Getting to Action
- Software for Predictive Quality
- Conclusions
- Recommendations
- Acknowledgements
Predictive Quality
Beyond Traditional Quality Systems
Quality is the cornerstone of medical device manufacturers’ success and touches every aspect of the business. Quality is paramount not only for cost and compliance but for patient outcomes. As a result, many companies use sophisticated simulation and analysis to predict outcomes in research and development (R&D). Yet, that is only a part of the quality system. It’s time to expand predictive quality into production – and to create feedback loops.
Predictive vs. Traditional Quality
Traditional quality is reactive or preventive at best. Rigid standards and procedures guide all activity, and samples and testing are frequent to be safe. Predictive quality is more proactive and adaptive – within the validated envelope. This new quality approach leverages data from product and process design, inventory, and supplier quality. It combines that data with real-time production information to foresee whether a product will meet quality specs.
Predictive Quality to Meet Market Pressures
Medical device manufacturers are under new pressures from both the market and regulators. Predictive quality is a foundational approach to meet those pressures:
- Margin: Lower costs through reduced scrap, rework, sampling and testing
- Speed of new products: Improve design for manufacturability and quality (DFM/DFQ)
- Risk: Realize regulators’ vision of minimizing both regulatory non-compliance harm and potential health hazards
- Cycle time: Products move in the process envelope with complete documentation at every step
- Quality: Fewer non-conformances during production
- Field outcomes: Reduced customer complaints, adverse events, and in-use products issues, and ability to quickly improve
Conclusions
Predictive quality allows a medical device manufacturer not only to comply, but to improve its business results. Building on the risk-based approach to more fully encompass the complete quality system, including production, is a logical next step. Yet, traditional software approaches leave too many gaps in the information flow. Predictive quality is only possible when medical device manufacturers have an agile, responsive, and integrated manufacturing data system to support it. The platform must pull in many data streams, put them in context, and conduct effective predictive analysis. It must integrate both to OT and enterprise, creating feedback loops at many levels. There are companies starting to do that today. Medical device industry leaders are building out the information systems to enable automated release. So, beyond documentation of the process and product, the system will understand whether all processes stayed within the designed envelope to ensure a high-quality product result. Companies that can step into this next level of predictive quality will have advantages in speed, regulatory compliance, cost, and confidence. *This summary is an abbreviated version of the research and does not contain the full content. Please visit our sponsor Critical Manufacturing for the full research (registration required). If you have difficulty obtaining a copy of the report, please contact us. [post_title] => Predictive Quality for Medical Devices (eBook) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => predictive-quality-ebook [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:28:25 [post_modified_gmt] => 2022-11-15 03:28:25 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=10670 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [15] => WP_Post Object ( [ID] => 10650 [post_author] => 2 [post_date] => 2021-07-13 14:36:29 [post_date_gmt] => 2021-07-13 18:36:29 [post_content] =>
With the crisis phase of COVID-19 passing, how are companies adjusting corporate strategies and priorities to address intensified business risk and disruption? How are they setting transformation strategies to ensure long-term business success and profitability in the face of rapidly evolving business models, new technology adoption, environmental concerns, socio-economic issues, and political uncertainty? We surveyed 246 organizations to find out.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes.
You can also read our 2020 research, Business Sustainability and Survival 2020, as well as our 2019 research, Executive Strategies for Long Term Business Success.
Table of Contents
- Business Risk and Disruptions Have Grown
- COVID-19 Disruption Brought Surprises
- Some Are More Prepared For Future Disruptions
- 2021 Returns to Balanced Response to Disruption
- Actions and Strategies Realigned (Exiting Crisis Mode)
- Strategic Drivers Return to Long-Term Sustainability
- Importance of Technology To Long-Term Success
- A Wide Variety of Technologies Are Strategic
- Pursuing A Variety of Tech-Supported Initiatives
- Executing Initiatives Is Still A Challenge
- Technology Adoption Challenges
- Conclusions and Next Steps
- About the Research
- Acknowledgments
Risk and Disruption Countered By Transformation
The Crisis Is Passing, But Business Risk and Disruption Persist In 2019, our Executive Strategies for Long-Term Business Success1 study found that business risk and disruption had increased for about three-quarters of survey participants over the prior five years. Clearly, business risk and disruption are not new. In 2020, our Business Sustainability (and Survival) Strategies 20202 research found that the COVID-19 disruption led many organizations to go into survival mode. The impact of the pandemic was unpredictable and had a more prolonged impact than other recent disruptions including earthquakes, tsunamis, volcanic activity, hurricanes, and human-created events like terrorism and armed conflict. Although they remained committed to important strategic initiatives like digital transformation and innovation, they lost focus on other essential pillars of long-term business sustainability. Although some are still struggling personally and professionally, our 2021 survey of 246 organizations finds that many organizations have emerged stronger because they innovated and implemented new technology to survive. The result is a market divided into organizations that are more agile and prepared for the next disruption and others who are at significant survival risk.
2021 Returns to Balanced Response to Disruption
Survival Mode 2020 In 2020, we shared how organizations were responding to the disruption. The results were simultaneously encouraging and discouraging. We saw that organizations enhanced their activity on some long-term business sustainability priorities while putting others on the back burner. We believe this was a short-term survival tactic. We learned that organizations were:- Accelerating digital transformation
- Maintaining investment in innovation and agility
- Decreased attention, slowed down, or even put on hold developing the workforce of the future and improving environmental impact
2021 Reaction Reflects a More Long-term View
The current survey results indicate that organizations are returning to a more balanced response across the pillars of business sustainability. Over the last year, we've seen workforce development and environmental sustainability focus rebound. The number of organizations that report they are increasing focus or accelerating environmental sustainability efforts tripled from 12% to 36%, and those that are increasing attention on workforce development grew by 255%. These changes are encouraging, but also reflect the reality that many took a step back from these needs due to the magnitude of the disruption. The return to a balanced approach will help organizations recover and transition to a new normal.
Importance of Technology To Long-Term Success
Digital Transformation Is Becoming The Norm
We put greater emphasis on technology in this year's survey because almost one-half of businesses increased focus and/or accelerated digital transformation last year due to the pandemic. This is not just due to the pandemic, of course. Our survey on the state of digital transformation3 found that more than one-half of respondents believe that digital initiatives are "important" if not "critical" to their business strategy. This survey supports that, showing the high strategic importance of digital transformation. It also points to the need to enable more remote work and collaboration, which requires new, digital technologies.
Sustainability Requires New Technology Adoption
How important, then, did respondents report that technology adoption is to their company's long-term success and profitability? Just over half say it's critical, and a full 94% state that it's at least important. The answer is not surprising. Many traditional organizations are in the process of becoming digital businesses. The message is clear; technology is a vital enabler of long-term business sustainability.
Conclusions and Next Steps
The Crisis Is Subsiding Our 2021 survey finds that responding to COVID-19 disruption is no longer the most pressing inhibitor to focusing strategy on long-term business success and profitability. Researchers found that company strategies are now more balanced and organizations can better address all of the pillars of long-term business success – including those related to corporate responsibility. Stronger Capabilities During the disruption, many organizations accelerated digital transformation, enhanced innovation, and increased their agility. They also adopted new, digital technologies and ways of working to better collaborate and support remote work. In many ways, those organizations that invested in these types of digital transformation are better prepared for the next disruption. Risk, Disruption, and Opportunity Despite the reduced impact of the current disruption, business risk skyrocketed between 2019 and 2021. The disruption led to new risks like new competitors. Further, organizations still need to address rapidly evolving business models, new technology adoption, environmental concerns, socio-economic issues, and political uncertainty. Be Better, Adapt, Or Risk Being Obsolete Now that the short-term crisis has passed, organizations can focus on the three pillars of long-term business sustainability. But organizations must remain agile, continue to transform, and learn to be prepared to respond to future disruptions. They must continue to adopt new technology and business models, despite initiative execution and technology adoption challenges. Lastly, they must remember to maintain a balanced strategy that includes product and service innovation, workforce development, environmental stewardship, and corporate social responsibility. *This summary is an abbreviated version of the ebook and does not contain the full content. For the full research, please visit our sponsor Dassault Systèmes. If you have difficulty obtaining a copy of the research, please contact us. [post_title] => Business Sustainability and Transformation Strategies [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => transformation-strategies-ebook [to_ping] => [pinged] => [post_modified] => 2025-01-06 21:36:27 [post_modified_gmt] => 2025-01-07 02:36:27 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=10650 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [16] => WP_Post Object ( [ID] => 10639 [post_author] => 2 [post_date] => 2021-07-10 00:11:55 [post_date_gmt] => 2021-07-10 04:11:55 [post_content] => What does a top expert in the engineering software market say about cloud migration for product innovation, engineering, and industrial software? What interesting things can we learn about Schnitger Corp’s Monica Schnitger during her interview with Tech-Clarity’s Jim Brown? Tune into this episode of (Not Your Typical) Tech Interview, the show where we make it interesting by asking some important industry questions and then add a couple more to have some fun and learn something about our industry experts. Want to find out why Monica thinks her first computer was really cool? Or why she hated the first one she worked on? Tune in to find out. https://youtu.be/WgXZAs6z5B8 For more information on industry readiness for the cloud, please see the first video of this series, (Not Your Typical) Cloud Interview with Siemens' Paul Brown. For more information on the engineering market's rapid shift to the cloud, please see the third video of this series, (Not Your Typical) Cloud Interview with Allan Behrens. For more information cloud perceptions, please see the fourth and final video of this series, (Not Your Typical) Cloud Perceptions Discussion with Siemens' Paul Brown. To get insights into your own company's cloud readiness please check out our Cloud PLM Advisor.Transcript
Jim: Hi, this is Jim Brown with Tech-Clarity. Welcome to the show where we ask industry experts some really important questions, and maybe some that are just for fun. *Not Your Typical Tech Interview Intro* Today, I'm joined by Monica Schnitger of Schnitger Corporation. She is the President and Principal Analyst there. She's an industry thought leader, she really helps people understand technology for engineers, designers and makers, and today we're getting together to talk about the adoption of the cloud for product innovation, engineering and industrial software. But like we usually do, we're going to make sure to ask a couple of questions, just to keep things interesting. Welcome Monica. Hi Monica, thanks for joining. Monica: Hi Jim. Jim: What changes have you seen over the last year or so related to the cloud for product innovation, engineering and industrial software? Monica: Clearly, the news of the last year has been the pandemic, and the fact that we all needed to do our jobs from some place other than normal, we were communicating by Zoom meetings, we might be doing CAD in the cloud or CAD virtualized or something else. I think that in the last year, we've really compressed maybe five years, maybe 10 years, depending on the company, of movement to the cloud into a really short time period. And I think that's awesome, and I think that's going to stay. Jim: Alright, so we'd like to ask some wildcard questions. Monica, what's your favorite browser? Monica: My favorite browser is Mozilla's Firefox, because I am told that it is the most secure. I don't know, that's what they say Jim: Do you think that manufacturers are looking at the shift to the cloud as an all or nothing proposition? Monica: Oh, absolutely not. I think that they're choosing what they do where. I think that they may have CAD on the desktop, but collaboration using the cloud, they may have simulation both locally because they can, and on the cloud for either extra capacity, extra compute power, or when their HPC center is full. I think that they're choosing what they do where, because they know that they can create their own environment the best way that they want to use it. Jim: Monica, what was the first computer that you ever used? Monica: That I ever used? I don't even remember. It was a terminal thing that was this horrible “teletype-y” kind of thing that went to a mainframe somewhere. It was awful. It was truly awful. Jim: So what opportunities are there for the cloud that are specific to the kind of software we deal with, product innovation, engineering, more industrial things that maybe aren't just the same as running another application on the cloud? Monica: Yeah, we can't discount the normal benefits, right? The lower cost of entry, the fact that somebody else is responsible for product updates and all that stuff, but I think that the real advantage in our space of the cloud is that it allows companies to get more types of users involved because of the lower cost of entry, perhaps, or because it's easier to use, it's also easier and less risky for them to try new things. And I think that's really important. One thing that these companies all need to do is improve their resilience and adaptability because this wasn't the only shock that they're going to see and they'll be better prepared for next time. Jim: Monica, what was the first computer you ever owned? Monica: Ah, that was cool, that was a Mac. It was one of the first ones that hit the market, it had a little tiny screen and you got a cassette in the box and you had to use your boom box. And so you listened to the cassette and then did things with that Mac. It was really fun and very approachable and not at all intimidating. And of course today we can connect to the cloud and get videos and all sorts of cool stuff for doing things, but back then, this was so different and really an awesome way to get started with personal computing. Jim: Monica, what advice would you have for manufacturers that are out looking at the cloud right now for more of their engineering industrial software? Monica: It's a great question. I think what we're starting to see is a bit of a digital divide where companies that jumped on this early in the pandemic, or even before the pandemic and sort of had this road map that they were able to execute last year, and then companies that haven't even started. So, for the companies that are already on this path, keep going, you're doing great. For the companies that haven't started, start taking a look at what your options are. Do you maybe want to do more collaboration in the cloud? That's an easy way to get started. Do you do simulation? Do you want to do some of that in the cloud? The basic idea is to get your feet wet and to try to become comfortable with security and access and uptime and all of those other things, and then expanding your footprint in the cloud as you get more comfortable with it. But you do have to start because your competitors are all doing this now. So it's time to get moving. Jim: Monica, thank you so much for joining today. I always enjoy talking to you, especially when you say “boom box,” and also learn something from you every time we talk. Thanks. Monica: Thank you, Jim. Me too. Jim: Thanks for joining us today on the web show where we ask some questions that most people might not think to ask. I'd like to thank our sponsor, Siemens Digital Industries Software You can learn more about how the cloud really can help quite a bit in product innovation, development, engineering and other industrial areas from the Siemens website [post_title] => NYT Cloud Migration Interview with Monica Schnitger (video) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => nyt-cloud-migration [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:29:24 [post_modified_gmt] => 2022-11-15 03:29:24 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=10639 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [17] => WP_Post Object ( [ID] => 10610 [post_author] => 2 [post_date] => 2021-07-07 10:26:47 [post_date_gmt] => 2021-07-07 14:26:47 [post_content] =>
How can manufacturers get closer to customers, gain more intimacy, and create more business value for themselves and their customers? How does extending the digital thread into the customer experience and operational phase of the product lifecycle help? Our eBook shares the results of interviews with eight manufacturers to shed some light.
Please enjoy the summary* below. For the full research, please visit our sponsor Propel.
Table of Contents
- Digital Thread Context and Definition(s)
- Digital Thread Maturity
- The Business Value of Extending the Digital Thread
- Merge Product Threads with Customer Experience
- Identify Hurdles to Extending the Digital Thread
- Not an "All or Nothing" Proposition
- Reduce the Barriers
- Conclusion
- Next Steps
- Acknowledgments
Digital Transformation Unlocks Customer Value
Digital Transformation Drives Greater Customer Intimacy and Profitability Our research shows that 95% of companies view digital transformation as either important or critical to the long-term success of their company. The survey further finds the only thing more critical to a company's long-term business success than digital transformation is their customer relationships. This eBook explores extending the digital thread into the operational phase of the product lifecycle – capturing the current, as-is configuration of the product and how the customer actually uses it. Read on to learn how capturing the customer experience helps manufacturers gain new levels of intelligence and insight into products and customers so they can develop stronger customer relationships and drive higher levels of profitability.Digital Thread Maturity
Dimensions of Digital Thread Maturity
Our interviews discovered a variety of digital thread maturity levels with expanding levels of value. We found significant variation in the maturity of digital threads capabilities in:
- The approach, ranging from maintaining basic history in spreadsheets and text documents to more rigorous, structured data approaches
- The scope, starting from developing a partial picture and expanding to capture information from more disciplines
- The lifecycle, representing a variety of maturity that ranges from only design and engineering phases to extension to the in-use phase
Next Steps - Incorporate the Customer Experience
Extend the Digital Thread Extend the digital thread to the customer experience to achieve even greater value:- Develop a more intimate understanding of the customer and product experience.
- Create new value from increasing profitability with lower costs and higher revenue from spares, suppliers, upgrades, replacements, and cross-selling opportunities.
- Unlock new potential by closing the loop for continuous improvement.
The value is available, and each company should decide how best to take advantage of it. In the process, they will need to consider organizational elements like incentives, training, and developing buy-in. They should adopt best practice processes that incorporate data collection and install a sense of data quality ownership. Lastly, they should look to create a platform of solutions that integrates all of the product and customer experience elements together from underlying systems, including; PLM, ERP, MES, SLM, and CRM. The vision is achievable and starts with a strategy that can be implemented over time to drive new value.
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full research, please visit our sponsor Propel.
If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => Extending Digital Threads to the Customer Experience (eBook)
[post_excerpt] =>
[post_status] => publish
[comment_status] => open
[ping_status] => open
[post_password] =>
[post_name] => customer-experience-ebook
[to_ping] =>
[pinged] =>
[post_modified] => 2022-11-14 22:28:23
[post_modified_gmt] => 2022-11-15 03:28:23
[post_content_filtered] =>
[post_parent] => 0
[guid] => https://tech-clarity.com/?p=10610
[menu_order] => 0
[post_type] => post
[post_mime_type] =>
[comment_count] => 0
[filter] => raw
)
[18] => WP_Post Object
(
[ID] => 10577
[post_author] => 2572
[post_date] => 2021-06-28 18:02:02
[post_date_gmt] => 2021-06-28 22:02:02
[post_content] =>
What is the best way for engineers to manage multiple design criteria, impacted by multiple physics, yet still meet deadlines, cost targets, and quality requirements?
Tech-Clarity’s eBook, How to Engineer High-Performing, Quality Products without Extra Cost, examines this question. The eBook shares findings based on the results of a survey of 272 manufacturers. It also examines the reality today’s engineers face, and the variety of factors they must consider.
The results show that exceptional engineering is critical to the success of today’s products. At the same time, this is driving product complexity. As products continue to become more complex, it becomes even harder for engineers to make the right design decisions. Interestingly, Tech-Clarity research finds that Top Performers are 2.2 times more likely than Others to have effective processes to understand trade-offs and optimize products. A key differentiator leading to their success is their ability to simulate multiple physics. Top Performers are 89% more likely than Others to find analyzing multiple physics makes design decisions easier. Simulation with CAE can be a valuable asset. The research identifies more details about what Top Performers do differently and the benefits they enjoy as a result.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes SOLIDWORKS (registration required).
For a related research, please see our eBook, How to Survive and Win New Markets by Getting Even More Value from Simulation.
Table of Contents
- Executive Summary
- What It Takes to Succeed
- What Holds Engineers Back?
- Consider the Variety of Engineering Problems
- Better Insight Early on Will Improve Products
- Identifying Top Performing Companies
- Make Design Decisions Easier
- Benefits Regardless of Product Complexity
- Benefits of Analyzing Multiple Physics
- Best Practices for Multiple Physics
- Access What You Need, When You Need It
- Recommendations and Conclusions
- About the Research
- Acknowledgments
Executive Summary
Engineering Is Critical to Success
With global competition and an uncertain economy, companies face significant pressure to develop the right products. To attract customers, engineers must balance numerous criteria, often conflicting, to meet product requirements for quality, reliability, innovation, and performance. They must assess the impact of an assortment of complex materials, components, and subsystems and evaluate how they will perform in a wide range of scenarios. Missing the mark can put market share at risk.
Growing Complexity
Navigating this complexity is no small feat as it requires a deep level of expertise. The sheer variety of physics involved make it incredibly difficult for engineers to confidently make decisions. Personal experience simply isn’t enough. In fact, 67% of survey respondents say complexity has grown over the last five years, and 44% find it has gotten even harder to make critical design decisions. Yet, Top Performers are 58% more likely than their competitors to be confident in their decisions.
Better Decisions
Despite complexity, Top Performers are 2.2 times more likely than Others to have effective processes to understand trade-offs and optimize products. A key differentiator leading to their success it their ability to simulate multiple physics. Top Performers are 89% more likely than Others to find analyzing multiple physics makes design decisions easier. Even those developing simple products reveal simulating multiple physics helps them become more competitive.
Recommendations
Recommendations and Next Steps
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
- To win over customers, ensure engineers are empowered measure KPIs and make the right design decisions that will lead to high quality, reliable, innovative, top-performing products.
- Recognize the variety of materials, components, and subsystems engineers must work with and analyze in the context of the entire product.
- Empower engineers to solve a wide variety of engineering problems while considering the complexity of the components and materials involved.
- Simulate multiple physics to get a more accurate and realistic insight into product performance.
- Ensure design engineers have access to the simulation licenses your company has so that they can simulate a variety of physics.
Could your overall equipment effectiveness (OEE) metrics do more to accelerate improvement? Most manufacturers' can, but not necessarily by doing what they have been doing. Read our eBook, Getting Beyond Percentages to Insights with OEE, to learn more.
Please enjoy the summary* below. Please visit our sponsor PTC for the full research (registration required).
For related research, watch the Power in the Hidden Factory webcast.
Table of Contents
- True to Continuous Improvement
- OEE: Beyond the Number
- OEE for Everyone
- How Advanced Manufacturing Enhances CI
- More, Faster Data for the CI Process
- Everyone Engaged
- OEE to Improve in the Ways that Matter Most
- Acknowledgments
Introduction
A New Normal for Overall Equipment Effectiveness and Continuous Improvement Overall Equipment Effectiveness (OEE) and Continuous Improvement (CI) are not new approaches, but the conditions in which manufacturers deploy them are. Today’s conditions include remote working, constant change, new competitors, and business uncertainty with large quantities of data that are not always used. Fortunately, many new technologies support CI processes and improve the accuracy, timeliness, and ability to act on OEE measurements. As a result, new opportunities for improving business results will arise from using digital analytics-based CI approaches.OEE to Improve in the Ways that Matter Most
Digital Advances to Boost the Basics With today’s new conditions, it is time to get back continuous improvement intentions, but do it with advanced digital analytics. Those primary intentions revolve around eliminating waste through process improvements that can impact the business. Digital matters because it delivers speed and accuracy of analysis for insights from OEE. Those characteristics enable high confidence in decisions, focused understanding of where losses occur, and thus greater improvements. *This summary is an abbreviated version of the research and does not contain the full content. Please visit our sponsor PTC for the full research (registration required). If you have difficulty obtaining a copy of the report, please contact us. [post_title] => Getting Beyond Percentages to Insights with OEE (eBook) [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => insights-with-oee-ebook [to_ping] => [pinged] => [post_modified] => 2022-11-14 22:28:22 [post_modified_gmt] => 2022-11-15 03:28:22 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=10556 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) ) [post_count] => 20 [current_post] => -1 [before_loop] => 1 [in_the_loop] => [post] => WP_Post Object ( [ID] => 10916 [post_author] => 2577 [post_date] => 2021-09-27 10:33:12 [post_date_gmt] => 2021-09-27 14:33:12 [post_content] =>
How can manufacturers adopt cloud PLM to support digital transformation but avoid being stuck with a dead-end, custom system? Is it time to force a hard decision between customization and the cloud? Read Digital Transformation Driving PLM to the Cloud to learn what three leading manufacturers and our research have to say.
- How today’s manufacturers are leveraging cloud PLM to support their digital transformation initiatives
- The business triggers that lead to upgrading current PLM solutions
- The compelling benefits of cloud and architecture choices that need to be made
- How low-code PLM can support digital transformation
Table of Contents
- Executive Summary
- The Manufacturer's Viewpoint on PLM
- The Need to Upgrade PLM
- Cloud is Compelling
- Evaluating PLM Deployment Options
- Out-of-the-Box (OOTB) is a Fallacy
- Functionality First
- Cloud and Custom Aren't Incompatible
- Key Takeaways
- Acknowledgments
Executive Summary
Digital Transformation Demands New Capabilities, Agility Digital transformation is intensifying the need to tailor PLM systems to serve as a company’s digital backbone and support new ways of innovating and operating. Engineers need the latest features and capabilities, but also need to keep the “right-for-me” PLM capabilities they already have. PLM solutions that are customized to achieve these goals, however, can create an ongoing need for specialized services that can limit agility and prevent adoption of new features and software versions. Transitioning to the Cloud Cloud solutions are compelling but are not commonly as tailorable as traditional solutions to provide a customized experience. Cloud offers numerous business and technical advantages including lower costs, less need for IT support, strong security, high availability, and practically infinite scalability. The tradeoff is typically a more out-of-the-box (OOTB) solution with lower ability to customize to enforce company standards and provide the right experience to the end user. "Cloud" and "Customization" can Co-Exist Our experience shows that most PLM implementations are not OOTB, especially for large organizations. This creates tension between cloud benefits and creating the new digital backbone and a “right-for-me” experience. As our experience and the research for this eBook shows, however, the right balance between cloud benefits and desired customization may be available through the emerging alternative to customization, low-code / no-code development.Evaluating PLM Deployment Options
Cloud Comes in a Variety of Options Cloud is compelling, but “the cloud” is not a single option. There are multiple ways to implement PLM. Let’s look at the impacts of the different options on factors like cost, agility, and the ability to customize for the “right for me” experience. Note that these are generalizations and we recognize that there are exceptions to every rule.
Key Takeaways
Research for this report leads our analysts to the following conclusions:
- PLM is becoming the digital backbone for manufacturers’ digital transformation strategy
- Most engineers prioritize PLM functionality and the “right-for-me” experience over cloud benefits. Traditional customization approaches lead to large technical debt and can result in dead-end customizations.
- PLM is a business imperative, and like the business, it’s a moving target. It’s important to have the ability to adapt the PLM system as needs change, to remain agile, without adding technical debt.
- Cloud and customization can both be options at the same time. The right PLM architecture can provide cloud benefits while also enabling customization without incurring significant technical debt.
All Results for "All"
MBSE: The Unsung Hero
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…
What is Advanced Manufacturing? (podcast)
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…
Understanding MBSE
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…
Solve Digital Transformation Gaps with Low-Code (webcast)
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…
How to Stop Missing NPD Due Dates (survey results)
What is more important to meeting new product development due dates, individual engineering productivity or product development efficiency? We surveyed over 160 companies to find out. Please enjoy the summary below.* For the full report, please visit our sponsor SOLIDWORKS (registration required). Table of Contents Executive Overview Individual Productivity or Process Efficiency? The Impact of Product Development…
NYT Cloud Perceptions Discussion with Siemens’ Paul Brown (video)
What has a leading software company insider learned about the way manufacturers look at the cloud for product innovation, engineering, and industrial software? What’s the mood in the market, and what cloud misconceptions linger? And what new did we learn about Siemens’ Paul Brown when we threw some “not typical” questions his way? Watch this…
How Digital Transformation is Driving PLM to the Cloud
How can a customized PLM system be moved to the cloud and avoid becoming stuck in a dead-end? Join James White, VP Digital Innovation Research, Tech-Clarity, and Mark Reisig, VP of Product Marketing, Aras Corporation, as they discuss: How today’s manufacturers are leveraging cloud PLM to support their digital transformation initiatives The business triggers that…
Extending the Digital Thread to the Customer Experience (webcast)
How can you include the customer experience in your digital thread to gain deeper insights and increase customer intelligence? Join Jim Brown (Tech-Clarity), Ray Hein (CEO & Co-Founder of Propel), and Tony Kratovil (VP, Manufacturing Solution Leader at Salesforce) as they discuss: Merging the operational phase of the product lifecycle with the voice of the…
3 Ways Manufacturers Can Respond Confidently in the Face of Unpredictable Demand (webcast)
What’s the one constant for manufacturers today? Change. The market is uncertain, and disruptions continue. Manufacturers cannot control demand for their products. Yet, with the right foundational technologies, they can respond confidently. Hear Tech-Clarity’s Julie Fraser, VP of Research for Operations and Manufacturing at Tech-Clarity, and Allan Fine, Manager Sage X3 Field Sales Engineers, as…
NYT Cloud Market Shift Interview with Allan Behrens (video)
What does a long-time software industry insider think about the engineering software market’s rapid transition to the cloud? What interesting insights can we glean about Taxal Limited’s Allan Behrens during this (Not Your Typical) tech interview? Don’t miss this episode of (NYT) Tech Interview, the series where we have some fun by asking important market…
How to Profit from Smart Products (webcast)
How can companies increase profits from smart products? Join our smart product webcast with PTC where we’ll review real data from our recent survey on companies’ level of involvement with smart products, quantified business results, and the opportunities and challenges of pursuing a smart products strategy. Register now to learn more insights on August 17th…
Profiting from Smart Products (survey results)
Smart products are the new norm. How can manufacturers differentiate and grow profitability as even their smart products become commodities? Our survey of over 150 companies shows that manufacturers are targeting much larger goals as they mature their smart product strategies beyond their products by adopting smart, connected, digital business models. Please enjoy the summary*…
Transforming CAD Data Management
How can engineers improve efficiency, personal productivity and find the information they need faster? Join this live Onshape webcast with James White, VP of Digital Innovation Research at Tech-Clarity; Theo Richardson, founding partner and Director of Development at Rich Brilliant Willing (RBW); and Dave Corcoran, Head of Products at Onshape to gain insight into how top performing…
Predictive Quality for Medical Devices (eBook)
Could medical device companies improve both patient outcomes and profit? Yes, and Predictive Quality for Medical Devices: Comprehensive Data to Move Risk-based Approaches into Production discusses how to modernize the quality system for best results. The predictive approach to quality is proactive and requires strong manufacturing data management. The report includes insights from executives at…
Business Sustainability and Transformation Strategies
With the crisis phase of COVID-19 passing, how are companies adjusting corporate strategies and priorities to address intensified business risk and disruption? How are they setting transformation strategies to ensure long-term business success and profitability in the face of rapidly evolving business models, new technology adoption, environmental concerns, socio-economic issues, and political uncertainty? We surveyed…
NYT Cloud Migration Interview with Monica Schnitger (video)
What does a top expert in the engineering software market say about cloud migration for product innovation, engineering, and industrial software? What interesting things can we learn about Schnitger Corp’s Monica Schnitger during her interview with Tech-Clarity’s Jim Brown? Tune into this episode of (Not Your Typical) Tech Interview, the show where we make it…
Extending Digital Threads to the Customer Experience (eBook)
How can manufacturers get closer to customers, gain more intimacy, and create more business value for themselves and their customers? How does extending the digital thread into the customer experience and operational phase of the product lifecycle help? Our eBook shares the results of interviews with eight manufacturers to shed some light. Please enjoy the…
How to Engineer High-Performing, Quality Products without Extra Cost
What is the best way for engineers to manage multiple design criteria, impacted by multiple physics, yet still meet deadlines, cost targets, and quality requirements? Tech-Clarity’s eBook, How to Engineer High-Performing, Quality Products without Extra Cost, examines this question. The eBook shares findings based on the results of a survey of 272 manufacturers. It also…
Getting Beyond Percentages to Insights with OEE (eBook)
Could your overall equipment effectiveness (OEE) metrics do more to accelerate improvement? Most manufacturers’ can, but not necessarily by doing what they have been doing. Read our eBook, Getting Beyond Percentages to Insights with OEE, to learn more. Please enjoy the summary* below. Please visit our sponsor PTC for the full research (registration required). For related…









