Making the value of technology clear
You can also learn more from the underlying research study, Filling Digital Transformation Gaps with Low-Code.
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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).
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:
Manufacturers should leverage a product innovation platform that streamlines product development by:
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:
[post_title] => Extending the Digital Thread to the Customer Experience (webcast)
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[post_date] => 2021-08-12 12:57:48
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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)
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[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)
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[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.
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.
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.
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
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[post_date] => 2021-07-19 13:31:58
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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).
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:
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.
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.
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.
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.
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 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)
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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.
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.
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
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.
How ready are manufacturers and AEC companies to embrace the cloud in engineering?
AMC Bridge's live webcast, hosted by Jim Brown, explores whether now is the right time to move toward cloud engineering software and data.
Hear the panel of speakers share their deep experience and unique perspectives:
You can also watch the first of AMC Bridge's webcast series with Tech-Clarity here: How Software Enables Industrial Additive Manufacturing.
[post_title] => Embracing Cloud Engineering Software and Data (webcast)
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What are the core fundamentals that manufacturers need in their digital thread? What do they need in their PLM system to serve as their digital thread backbone? Read our eBook, The Seven Building Blocks of the Digital Thread, to learn more.
Please enjoy the summary* below. Please visit our sponsor PTC for the full research (registration required).
For related research, read our original buyer's guide Choosing PLM for Digital Thread Initiatives.
There are numerous definitions of the digital thread. Our research highlights two primary value drivers, streamlining engineering and creating digital continuity. More importantly, these factors are the means to significant business improvements. Benefits include improved quality, greater efficiency, lead-time reduction, enhanced innovation, and more. Specifically, our study shows that companies that have adopted a digital thread enable their technical resources to spend 10% more value-added time on innovation, design, and development work.
This value is the outcome of reduced handoffs and translations, a complete and cohesive data model, connected data, traceability, reuse, and better collaboration. This is why the digital thread is such a critical capability for manufacturers.
[post_title] => Could You Reduce your Manufacturing Workplace Safety Risks? (webcast)
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[post_content] => [caption id="attachment_10486" align="alignright" width="212"]
Experience with low-code solutions[/caption]
Some see low-code as a promising new technology, but is it really new? No. Is it promising for digital transformation? Our survey says yes.
Please enjoy the summary below or see Jim Brown's full guest post on the Siemen's blog to learn how the low-code technology "breakthrough" helps fill digital transformation gaps.
Digital Transformation Gaps
Digital transformation is creating new value for manufacturers. The digital revolution, whether under the banner of Industry 4.0, Smart Manufacturing, or some more overarching initiative, is a high priority to survive and thrive in the new normal. Even before the disruption from the recent pandemic, Tech-Clarity’s research on digital maturity in manufacturing shows that two-thirds of industrial companies viewed digitalization as either “important” or “critical” to achieving their business strategy.
Our recent survey, Filling Digital Transformation Gaps with Applications, shares that manufacturers’ digital initiatives create or uncover process, organizational, and technology gaps. They must overcome these “digital transformation gaps” to achieve their digitalization goals, such as driving internal efficiencies, creating new business models, or finding new revenue opportunities.
[caption id="attachment_10473" align="alignleft" width="157"]
Jim Brown in 2003 when the original article was published[/caption]
[caption id="attachment_10477" align="alignright" width="157"]
Jim Brown currently[/caption]
A "breakthrough" technology
Some see low-code as a promising new technology, but is it really? New technology? No. Despite the fact that a full 25% of industrial companies aren’t aware of it, it’s not new. The low-code approach has gone by different names, including model-based programming. In fact, I first wrote about it with Olin Thompson of Process ERP Partners in 2003 in a series of Technology Evaluation articles titled “What’s Wrong with Application Software.” In that we pointed out that “Early adopters are learning that Model Based Architectures create significant efficiencies throughout the application lifecycle.”
Take advantage of low-code to fill gaps
As we said over a decade ago “Model based architecture is … a tool that leverages existing applications and fills in the cracks that exist in your business processes.” That’s even more applicable today, given the higher demand – and value – of rapid application development in the digital era. It’s time for more manufacturers to adopt low-code in order to meet their critical digital transformation needs. Fortunately, it’s well suited to start small, prove the value, and grow. It’s time to get started.
For related commentary on how companies can fill IoT gaps with low-code applications, read the Fill IoT Gaps with Low-Code guest post.
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Could your production operation be more productive? Sometimes it’s difficult to tell, despite having plenty of data. Sometimes, metrics like overall equipment effectiveness (OEE) don’t even help uncover the hidden factory. Yet, OEE can and should pinpoint opportunities.
Find out how to improve more reliably in this June 2021 webcast. Listen in to Tech-Clarity’s Julie Fraser, VP of Research for Operations and Manufacturing, and Nick Leeder, VP of Digital Transformation Solutions at PTC, as they discuss how digital continuous improvement (CI) programs can help your company succeed. Keep your bottlenecks productive. Build on and drill down into OEE to get real insights.
Hint: It’s all about speed. Get a glimpse into the hidden factory. Start thinking about how to uncover ways to boost productivity.
View the webcast on-demand here.
[post_title] => The Power in the Hidden Factory: Unlocking the Untapped Potential in Manufacturing Operations (webcast)
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With increasing demands for highly skilled operators, yet a shortage of workers with those skills, what can manufacturers do to boost manufacturing productivity?
With workforce shortages, market volatility, and rising costs plaguing most manufacturers, many are turning to new ways of operating, and digital transformation is playing a pivotal role. Digital work instructions can be a critical component of the strategy, but what should you look for in a solution? This buyer’s guide* defines what digital work instructions are, the challenges they solve, and the benefits a company can realize by adopting them. The guide then outlines nine capabilities to look for in a solution.
While this buyer’s guide was written before the COVID-19 pandemic, the challenges facing manufacturers have not gone away, and in fact, in many cases have gotten even worse. Due to the pandemic, factories may need to get by with limited staff, while also coping with new safety guidelines. They also need to adapt to severe supply chain disruptions. Consequently, this has created demand for greater agility and efficiency, which has accelerated digital transformation. Access this buyer’s guide to learn about how digital work instructions can help.
Please enjoy the summary* below. For the full research, please visit our sponsor PTC (registration required).
The Difference Between Digital and Electronic
While digital work instructions support going paperless, digital is not the same as electronic. While an electronic format such as a PDF offers the benefits of going paperless, it does not provide all of the benefits of going digital. A PDF is still a dumb document. The minute you create it, you break the digital thread. The document has no link to its source data, so as soon as there are changes, the PDF is outdated.
Digital Work Instructions
On the other hand, digital work instructions are smart and data-driven. They preserve the digital thread from the engineering data and connect it to the produced product. Digital work instructions dynamically guide operators as they work, providing instructions in a digestible way that is easy to follow. The software can pull data from multiple places, yet only show the operator what’s relevant to the current task, from a single screen. Work instructions are never out of date since they automatically update when there are changes. With connectivity, the software also captures what the operators do. This closed loop visibility validates that the instructions were executed properly and provides management with visibility, supporting continuous improvement.
What role does software play in the maturation of additive manufacturing to industrial scale?
This live webcast, hosted by Jim Brown and Igor Tsinman, President of AMC Bridge, explores the symbiotic relationship between additive manufacturing technology and the software applications that work cohesively with them. The panel includes Igal Kaptsan - General Manager Software of GE Additive and Moritz Maier - Co-Funder & Co-CEO of ELISE.
Register now to watch the May 13 webcast.
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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 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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Some see low-code as a promising new technology, but is it really new? No. Is it promising for digital transformation? Our survey says yes. Please enjoy the summary below or see Jim Brown’s full guest post on the Siemen’s blog to learn how the low-code technology “breakthrough” helps fill digital transformation gaps. Digital Transformation Gaps…
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