How Semiconductor Companies Differ from Their Customers
Conclusions
Recommendations
About the Author
About the Research
Acknowledgments
Overview
Gaining design wins and getting each product into the market profitably is a puzzle. Solving that puzzle repeatedly and reliably is an enterprise- and ecosystem-wide endeavor that requires retooling semiconductor innovation to support that scope. Some appear to have done that. We identified these companies as Top Performers: the companies with the best revenue, profit margin growth, and revenue from products less than two years old. They think and act more holistically. Top Performers have better capabilities for ecosystem collaboration and IP protection, waste less time in product development processes, and have faster time to market. These leaders accomplish their higher performance through better use of commercial technology, including PLM. They have better access to data and digital continuity. Top Performers also exhibit higher digital maturity, managing and sharing data across partners and disciplines. The Top Performers show a way forward for semiconductor, electronics, and high-tech companies.
Conclusions
Every aspect of life increasingly depends on semiconductors and electronics to become smarter. Opportunity is growing. Yet to seize it, companies must retool innovation in not only product technology but also enterprise and ecosystem processes. Remember, success rests on achieving product quality, reliability, performance, innovativeness, and cost all at once. Beating the competition in all those ways is no small feat.Top Performers’ Holistic ViewWhat differentiates Top Performers from Others is how much they have done to ensure their business and product innovation work effectively. They are better at cross-functional and multi-partner processes than others. Rather than settling for trade-offs, they have developed capabilities to balance all the objectives. They can design successful innovative products while at the same time being efficient and protecting their IP. This balanced view and set of capabilities enable them to get to market faster and more confidently with lower operating costs.Digital Support for Retooling Semiconductor InnovationIt’s not realistic to expect to simplify the multi-application technology environment. That’s not what differentiates Top Performers. How they achieve superior performance is by being better at
managing their product data, whether BOMs, BOPs, simulation data, or IP
digital continuity
data access through the lifecycle
using PDM or PLM technologies
collaboration across their enterprise, ecosystem, and product lifecycle.
For related content, check out the Semiconductor Innovation for Profitability webcast.
*This summary is an abbreviated version of the research and does not contain the full content. A link to download the full report is available here.If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Retool Semiconductor Innovation for Profit (survey results)
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[post_date] => 2021-02-23 11:15:54
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[post_content] => What does Poor Quality Really Cost?
Calculating the actual cost of quality problems is not straightforward. Some of the expenses are apparent, but many are not. Quality is important to customers and to business profitability. So, truly understanding the cost of quality warrants the effort. Fortunately, advanced manufacturing technologies can help analyze and understand expenses plus reduce quality problems and escapes.Julie Fraser's guest post on PTC’s blog outlines some ways advanced manufacturing technologies can help avoid quality problems, spot patterns to improve processes, and improve team communication. Explore this to consider whether you’ve included all of the costs of poor quality and prevented them in your operation.
For related research, read Lower Six Manufacturing Costs with IoT to explore how new technologies can help keep manufacturing expenses in check.
[post_title] => What is the Cost of Poor Quality in Your Manufacturing Environment? (guest post)
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[post_content] => What current challenge have manufacturers been wrestling with for at least 35 years?
System integration. Getting manufacturing data to flow has always been a problem. And it still is.
Based on Tech-Clarity research The Manufacturing Data Challenge: Lessons from Top Performers, most of the 300 respondents’ companies need better ways to integrate IT and OT data. Consistency and context are essential to better data management. Read Julie Fraser’s guest blogon the Critical Manufacturing site. The post points to just how essential – and possible – better and more integrated manufacturing data management is today.
[post_title] => Manufacturing Data: Can It Finally Flow? (guest blog)
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[post_content] => How can IoT and advanced technologies lower costs in manufacturing? Lower Six Manufacturing Costs with IoT explores how new technologies can help keep age-old manufacturing expenses in check. The report discusses how the Internet of Things (IoT) and related technologies for monitoring and using data can streamline processes and support people in making profitable decisions.Please enjoy the summary* below. Please visit our sponsor PTC for the full research(registration required).
Table of Contents
Cost and Margin
Workforce Productivity
Material Costs
Asset Costs
Energy Costs
Cost of Quality
Safety and Compliance Costs
Recommendations
Acknowledgments
Cost and Margin
Age-old Manufacturing Challenges
Margins matter. Ever since people began turning materials into higher-value goods and selling them for a living, lowering costs has been an objective for manufacturers. In the margin equation (simplified to income minus expenses), costs are often the easiest to control.
For manufacturers, operating costs are a logical place to seek improvement. Manufacturing inherently has a set of input costs: workforce, materials, machinery, energy; lowering those costs improves operating margin. Problems with quality, safety, or compliance can add to the margin squeeze.
Smarter Manufacturing to Lower Costs
Each advancement in production methods and information technology has allowed better and less expensive production. Previous moves from artisans to steam power to mass production to control automation have each done this.
Costs continue to drop with the transition to IT in operations and today’s IoT-connected distributed intelligence. Yet those savings require initial investments to create a smart connected factory.
New technologies offer specific ways to reduce costs. We’ll show them in six primary areas:
Workforce productivity
Materials
Assets
Energy
Quality
Safety & Compliance
Recommendations
Continuing Cost Reductions
Cost improvements are crucial for manufacturers to remain profitable in the “new normal.” Fortunately, technologies for every level are now available to reduce operating costs across all six dimensions. Capabilities to bolster include sensing, monitoring, communicating, analyzing, predicting, and displaying operational data and performance indicators.
As with previous generations of manufacturing technology, adding new technologies can create incremental – and sometimes dramatic – cost reductions. Some are one-time savings; many continue to reduce costs.
Actions to Get Started
While every company’s cost structure and situation is different,
there are some things every manufacturer should do.
Examine operating costs and focus efforts on significant needs
or easy-to-identify wastes.
Add IoT sensors to gather more data where critical opportunities lurk.
Provide workers with as much support as possible through work instructions and remote expert support on-line or through AR goggles.
Use all data feeds available to monitor materials, processes, and equipment precisely.
Assess energy and quality in detail and add guidance or monitoring to keep costs in line with revenues.
Consider compliance and EH&S systems – are you still facing risks?
Consider how new technologies in this paper will integrate with and leverage current automation and software systems.
To stay competitive with low costs and healthy margins, companies must invest. Now is the time.
*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). A link to download the full report is available above. If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => Lower Six Manufacturing Costs with IoT (eBook)
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[post_content] => How can Aerospace and Defense (A&D) companies streamline collaboration and create digital continuity? What should they look for in a PLM system to support a cohesive digital thread, especially given that their IT systems were not designed for remote work during a pandemic? This eBook takes a deeper dive into the data from our original, cross-industry study on the digital thread to better understand how the value and considerations for digital thread adoption apply to A&D companies.
Please enjoy the summary* below. For the full research, please visit our sponsor PTC (registration required).
You can also watch our related digital thread webcast.
Table of Contents
Choosing the Right PLM
Introducing the Buyer's Guide
The Digital Thread Imperative
What to Look for to Streamline Engineering
What to Look for to Create Digital Continuity
Digital Thread Business Value
Considerations by Role - Engineering
Considerations by Role - Manufacturing
Considerations by Role - Quality
Considerations by Role - IT
Considerations by Role - Service
PLM is the Digital Thread Backbone
Special Considerations - Emerging Technologies
Implementation Considerations
Vendor Considerations
Conclusions and Next Steps
About the Research
Acknowledgments
The Digital Thread Imperative
Business Strategies Demand a Cohesive Digital Thread
Over three-quarters of companies say that the digital thread is either important or critical to achieving their business strategy.
A&D companies report a variety of goals for their digital thread initiative (see chart). A&D companies are 88% more likely than other manufacturing industries to focus on keeping product data in sync across the product lifecycle, 63% more likely to target compliance, and 50% more likely to aim for managing product knowledge and intellectual property (IP). This is expected based on the nature of the industry. They are also significantly more focused on streamlining design processes and eliminating errors, which highlights an increased need to control cost and improve time to readiness.
While definitions vary, there are two primary values of the digital thread; streamlined engineering and digital continuity.
Streamlined Engineering
The digital thread supports a Digital Engineering Strategy by allowing product development teams to share and reuse design data across the stages of innovation. Design continuity along the digital thread allows engineers to add their design information to a cohesive model, directly incorporating and extending design data from prior steps.
Digital Continuity
The digital thread ties product information, decisions, and history together in a structured, integrated way that captures product innovation and knowledge throughout the product lifecycle. This is increasingly important due to the impact of COVID-19 on IT infrastructure. It establishes traceability from early in the front end of innovation through development, manufacturing, service, and field operation.
Conclusions and Next Steps
Invest in the Digital Thread
Invest in the digital thread to streamline engineering and create digital continuity. Top Performers are 2.6 times as likely to view the digital thread as critical to supporting their business strategy.
Extend the Thread across the Lifecycle
Adopt a comprehensive scope that incorporates cross-departmental data. Top Performers are more likely to include manufacturing, quality, and service plans in the scope of their digital thread, and enrich it with actual data from the IoT.
Leverage PLM as the Digital A&D Backbone
Adopt PLM to support the digital thread. Top Performing companies are 2.4 times as likely to view PLM as critical to supporting the digital thread and are much more likely to use PLM to support it.
Enjoy the Benefits
The digital thread provides significant, measurable benefits including, increased engineering efficiency, improved quality, faster time to market, enhanced innovation, and better compliance. Top Performers gain even higher benefits than others. For example, these more successful product developers enable their technical resources to spend 27% more time, on average, on value-added activities than their poorer performing counterparts.
*This summary is an abbreviated version of the research and does not contain the full content. For the full research, please visit our sponsor PTC (registration required).
If you have difficulty obtaining a copy of the research, please contact us.
[post_title] => Choosing PLM for the A&D Digital Thread (survey results)
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[post_content] => Tech-Clarity is pleased to announce that we are expanding our research team and extending our coverage of Digital Innovation, Digital Transformation, and Additive Manufacturing. Well-known industry thought leader and research analyst James White is joining Tech-Clarity as Vice President of Digital Innovation Research. James brings with him decades of experience in Digital Enterprise specializing in Digital Transformation, Design Innovation, PLM, Industrial Additive Manufacturing, BIM, and other solution domains essential for engineering manufacturers. Please visit James’ Bio Page for more on his background.Traditional manufacturing industries are undergoing significant change due to a confluence of events including globalizing supply chains, system-of-systems, emerging SaaS solutions, and multi-cultural teams while aiming to reduce product complexity and optimize portfolios. Leading manufacturers are eliminating the gaps between customer requirements management, product innovation, engineering product development, manufacturing operations, and supply chains by creating a cohesive digital thread. Today’s leading software vendors are evaluating their product portfolio strategies and new SaaS solutions are emerging as disrupters to meet these challenges. Adjacent technologies from solution providers such as Amazon, Microsoft, Google, and peer-to-peer collaboration tools such as Zoom and Slack are also becoming making an impact. Product Innovation Platforms offering CAD, CAE, PDM, and PLM are aligning and integrating much more closely with adjacent solutions including ERP, Supply Chain, MES, QMS, and more. “This is a strategic move,” explains Jim Brown, President and Founder of Tech-Clarity. “As manufacturers grapple with rapid change while combating global pressures it’s imperative for us to offer a broad strategic perspective on digital transformatoin in 2021 and beyond. More than ever before, we must help companies seek out the value of technology by simultaneously balancing technology against processes and people. James brings great experience, credibility, and a global perspective. We are excited to have such a respected thought leader join our team to help further our mission of making the business value of technology clear.”James’ research focus will include Digital Innovation, Digital Transformation, PLM, BIM, and Industrial Additive Manufacturing. Please follow Tech-Clarity on Twitter and join our mailing list to read James’ research. For more information or to schedule a briefing please feel free to contact us.
[post_title] => Tech-Clarity adds Digital Innovation and Transformation Analyst James White
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[post_content] => James White is the Vice President of Digital Innovation Research for independent research firm Tech-Clarity. He covers the Digital Enterprise specializing in Digital Transformation, Design Innovation, PLM, Industrial Additive Manufacturing, BIM, and other solution areas for manufacturers.He began his career in special purpose machine design before moving into the CAD/CAE/PLM industry focused on heavy engineering applications. While developing his career in the engineering software industry, Mr. White moved countries 8 times. Through this journey, he gathered valuable multi-cultural experience in a wide range of industries working for leading CAD/CAE/PLM solution companies such as HP, Autodesk, Upchain, and Accenture. He has held senior positions responsible for taking new disruptive products to market. He is particularly interested in the confluence of events currently affecting engineering product development; globalization of supply chains, system-of-systems, emerging SaaS solutions, multi-cultural teams, and the need to reduce complexity and optimize portfolios.James White has trade certificates in design drafting, fitting/turning/machining, a degree in Mechanical Engineering from Otago University of Dunedin New Zealand, and a Post Graduate Diploma in Marketing/Business Strategy from Monash University, Melbourne Australia. Mr. White believes that companies achieve the highest value from their initiatives when they allow all stakeholders to contribute. He believes that sometimes the expectations of new technology are too high, new process goals too ambitious, and expectations of people’s ability to change are not clearly understood. Only by evaluating the combination of technology, processes, and people simultaneously can the true value of technology be achieved.When he’s not focused on investigating the value of technology, he is a competitive ocean swimmer and motorcycle track and adventure rider.
[post_title] => James White
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[post_content] => Is cloud PLM the right option for your company? If so, what do you need to know? Take our Cloud PLM Advisor assessment to find out.The assessment leverages our research to assess your company’s readiness to transition to the cloud. Should you switch to a new system? Wait for your current solution to be available on the cloud? How much functionality are you willing to trade off, if any? Do you have the proper standards in mind? The assessment considers five pillars of cloud readiness to provide tailored recommendations to help you determine the best path for your business:
Strategy
Functionality
Governance
Existing Solutions
Cloud Transition
You will have the option to save, print, and share the results in the Tech-Clarity Assessment Center.Take the online assessment here.Get more information about digital transformation and Siemens Cloud Solutions from our sponsor, Siemens Digital Industries Software.
[post_title] => Are You Ready for Cloud PLM? (online assessment)
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[post_content] => How does your company stack up in its ability to monitor and optimize equipment performance using the IoT? Answer a few questions in our IoT Machine Monitoring Assessment and you’ll get a customized report that:
Compares your capabilities to Top Performing companies
Offers tailored recommendations to improve performance
The assessment leverages our survey data to help you benchmark and improve ability to monitor and optimize machines in our Five Pillars of Machine Monitoring:
Strategy and Organization
Connect and Communicate with Equipment
Monitor and Analyze
Notify and Act
Technology Platform
You will also have the option to save, print, and share the results in the Tech-Clarity Assessment Center.Take the IoT Machine Monitoring Assessment
You can also learn more about machine monitoring and optimization and find how to get started by visiting our sponsor, Siemens MindSphere®.
[post_title] => Benchmark Your IoT Machine Monitoring Capability (Performance Assessment)
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[post_content] => Semiconductor innovation is multi-faceted; can lifecycle management improve product and thus business success?This on-demand webinar features Julie Fraser sharing Top Performers’ best practices for digital continuity based on her new semiconductor industry research. Semiconductor companies are great at technical innovation, but many do not have all the capabilities they need for product profitability. The webcast shares insights from a survey of over 275 respondents from semiconductor companies and those who design semiconductors into their smart products. These are highlights of the upcoming research report, Semiconductor Innovation for Profitability: A Lifecycle Approach for Smart Products and Devices.Fraser will present highlights of the research:
Challenges for profitability
What Top Performers are doing to succeed
Key process capabilities to improve
Technology supports for digital continuity
Learn what’s working from this groundbreaking research. Plus, Siemens VP of Electronics and Semiconductor Industry Alan Porter puts it all in the context of industry trends and imperatives. Register to gain these insights in a thought-provoking, data-backed webcast. Sponsored by Siemens.
[post_title] => Semiconductor Innovation for Profitability (webcast)
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[post_content] => How can design engineers improve confidence in simulation results? Can cloud-based simulation help?Watch Michelle Boucher as she shares best practices from her research to explain how design engineers can get even more value from simulation. Simulation can be a powerful design tool by providing engineers with design guidance. However, some are concerned they lack the knowledge and background to use CAE. Consequently, they are hesitant to try it. Hear how better collaboration and a cloud platform can help address this challenge.Register and watch the Dassault Systèmes SIMULIAepisode 3 of SIMULATION TALKS: Addressing Cloud-Based Simulation for Better Engineeringhere.For more information on this topic, check out the related eBook here.
[post_title] => Cloud-Based Simulation for Better Engineering
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[post_content] => How can design engineers get even more value from simulation? What is the most effective way to aid design engineers in their ability to create more competitive products?
Our new eBook, How to Survive and Win New Markets by Getting Even More Value from Simulation explores these questions. Today’s challenging economic times, worsened by COVID-19, mean companies will need to work even harder to win over customers with products that stand out in the global economy. Therefore, engineers must make the right decisions as they create increasingly complex products. However, Tech-Clarity’s research finds that unfortunately, 44% of manufacturers find these crucial decisions are becoming even harder. Many rely on personal experience and guesswork, but is there a better way?
Based on a survey of 272 manufacturers, this research study examines best practices that allow engineers to make more informed design decisions, while overcoming the limitations of traditional engineering infrastructure and the role that CAE tools can play.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systemes SOLIDWORKS (registration required).
Table of Contents
Executive Summary
Start with Your Customer
But Design Decisions Have Gotten Harder
What Makes Design Decisions Easier
Solving Problems
Identifying Best Practices
Making Simulation Accessible to Design Engineers
Using Simulation in the Cloud
Cloud Computing
How Faster Results Translates to Business Value
Accessing Required Data to Support Simulation
The Value of an Integrated Platform
Conclusions
Recommendations
About the Research
Acknowledgments
Executive Summary
Designing in a Modern Era
As products become more complex, engineering decisions are getting harder. The good news is that there is help. Respondents report that both experience and better software tools help. In fact, 74% of Top Performing companies empower their design engineers with simulation tools. The research explored best practices for supporting design engineers to adopt simulation.
Getting More Value from Simulation
While simulation offers many advantages, there are opportunities to get even more value. Often, it is the lack of knowledge that holds them back. This is likely why 83% of Top Performers say that if design engineers could collaborate more easily with a simulation expert, it would help them.
Better Collaboration
The majority of respondents, 54%, agreed that the best way to enable collaboration between analysts and design engineers is to send a link to collaborate on a model in real-time. A cloud platform is a way to allow this, which is probably a contributor to why Top Performing companies are 3.9 times more likely to use cloud software, including for simulation.
While better collaboration is a powerful benefit, the leading advantage of those using simulation in the cloud, reported by 71%, is the additional computing power and faster results. Top Performers would use this extra time to complete design work faster, innovate more, and conduct additional simulations. The research also finds that those using simulation in the cloud report more benefits than anticipated by those who don't use it. This indicates that once you start using simulation in the cloud, it will likely help you in ways that you may not expect.
Easy Access to Needed Data
Another way to support design engineers is to make sure they have access to the required data to support simulations. The research finds that Top Performing companies are 63% more likely than Others to agree that the cloud is the ideal way to manage the different data types needed for simulation. Incidentally, those using the cloud for simulation are more likely to manage material data, best practices, test data, past simulations, and real-world performance data. Respondents identified all of these as data types that should be managed.
An Integrated Platform
The cloud is also a way of supporting an integrated platform. Companies reported many benefits of an integrated platform. Interestingly, the more complex the product, the more likely respondents were to report more benefits. Easier collaboration between design engineers and analysts, better traceability, more flexible licensing, ease of sharing and controlling access to results, and access to multiple physics were among the most commonly reported benefits.
Recommendations
Recommendations and Next Steps
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Empower design engineers to use simulation. Cloud simulation offers many advantages that can make that easier.
To support design engineers, facilitate easy and secure collaboration methods for them to connect with analysts. A cloud platform can support collaboration by merely sending a link to the model for real-time collaboration.
Accelerate the time to get simulation results with cloud computing.
Ensure design engineers have easy access to the needed data to support their simulations. Given the variety of different sources of data required to support simulation, the cloud is especially well suited to provide a single access point for the different data types.
Consider an integrated platform to support simulation. Sudden market changes or supply chain disruptions can require significant changes to requirements. The traceability of an integrated platform to identify impacts, simulate new options, and update the design can be an invaluable way to adapt without hurting time to market.
*This summary is an abbreviated version of the ebook and does not contain the full content. For thefull research, please visit our sponsor Dassault Systemes SOLIDWORKS (registration required).If you have difficulty obtaining a copy of the research, pleasecontact us.
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[post_content] => How can manufacturers innovate through today's global industry disruption and set themselves up for success as things settle into a new normal? Hear from Kichler Lighting’sMehul Gala, Tech-Clarity’s Jim Brown, and Onshape’sDave Corcoran. They’ll share their perspectives on how companies are adapting to the new reality and preparing for the future by:
Enabling remote work
Eliminating “wasted-time”
Reducing design cycles
Improving efficiency
Preparing for “what’s next” by becoming more resilient and flexible
Register today to watch the webcast, sponsored by Onshape.
Presenters:
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[post_content] => What did leading engineering software industry analysts think of the first virtual Autodesk University? What are their key takeaways from AU2020? Hear the discussion with Lifecycle Insights Chad Jackson, CIMdata’s Stan Przybylinksi, and Tech-Clarity's Jim Brown led by Taxal’s Allan Behrens.
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[post_content] => Have procurement organizations re-focused digital transformation investments due to COVID-19?
Yes. Priorities are radically different, as the research shows behind Roadmap - COVID-19 and Digital Transformation: Unique Research Into Investment Priorities. What has changed is that companies are more focused on creating abilities to work remotely, connect, see, and analyze what’s going on in supply. They are less likely to focus on backward-facing performance metrics since historical patterns no longer apply.
This article is based on primary research into what procurement projects companies have accelerated or postponed due to COVID-19. It is a detailed look at where companies are investing and not right now.
It also explores whether these changes are likely to remain in place. Tech-Clarity’s Julie Fraser is quoted on page 9, predicting this is a new normal. “Business processes, such as forecasting and inventory planning, which relied on data feeds from backwards-looking systems, are no longer quite as important. History is far less relevant now. Instead, it makes sound sense to invest in projects that provide a competitive edge, to help procurement organisations deal with this new normal.”
We are pleased to contribute to this fascinating look at COVID-19 and Digital Transformation in procurement. The research was sponsored by Amazon Business UK, and the article written by Malcolm Wheatley.
To download the full article, please visit Procurement Leaders (registration required).
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[post_content] => How do companies improve profitability by monitoring, analyzing, and optimizing equipment via the Industrial IoT? How has the COVID-19 pandemic impacted their plans? See what our survey of over 200 companies that manufacture, operate, service, sell, distribute, install, and/or integrate equipment finds about how the leaders operate in Tech-Clarity’s Pillars of Machine Monitoring and Optimization.
Please enjoy the summary* below. Please visit our sponsor Siemens MindSphere® for the full research (registration required).
Learn more about machine monitoring and optimization and find how to get started by visiting our sponsor, Siemens MindSphere®.
Table of Contents
Strategies
Benefits
Monitoring and Optimization is Transformational
Challenges
Impacts of COVID-19
How Can Companies Improve Performance?
Pillar 1: Strategy and Organization
Pillar 2: Connect and Communicate
Pillar 3: Monitor and Analyze - Prepare Data
Pillar 3: Monitor and Analyze - Analyze Data
Pillar 4: Notify and Act
Pillar 5: Enabling Technology - Systems
Pillar 5: Enabling Technology - Integration
Key Findings and Conclusions
About the Research
Acknowledgments
Monitoring and Optimization is Transformational
Machine Monitoring Benefits are Strategic
Beyond direct benefits, monitoring equipment via the industrial IoT is the foundation for greater business impact. Most survey takers report that their equipment monitoring strategy is part of one or more broader corporate initiatives. Machine monitoring and optimization supports a variety of important business initiatives including digital transformation, smart manufacturing, and service transformation. It can also help fuel continuous improvement programs such as Six Sigma, as reported by one-half of surveyed companies. Very
few, only 2%, are pursuing it as a standalone strategy.
IoT Machine Monitoring is EssentialMachine monitoring and optimization drives success by fueling digital transformation. A recent, but separate, Tech-Clarity survey shows that more than one-half of manufacturers say digital transformation is “important” if not “critical” to achieving their business strategy. This is particularly true in these challenging times. As evidence, another study finds that the vast majority of companies have either increased their focus and/or accelerated their digital transformation efforts or at least maintained their current level of focus. Machine monitoring is much more than a tactical, operational initiative; it lays the structure for much broader digitalization.
Key Findings and Conclusions
Companies are Actively Pursuing Machine Monitoring
Over three-quarters (84%) of surveyed companies are pursuing machine monitoring and optimization, and another 13% plan to. Most companies are pursuing it as a part of a larger digital transformation, smart manufacturing, or service transformation initiative; as continuous improvement; or a combination of these.
Machine Monitoring and Optimization Drives Benefits
Companies are pursuing – and achieving – business goals by implementing machine monitoring and optimization. Initiatives to monitor and improve equipment are resulting in improved profitability in the vast majority of companies.
Top Performers Gain More Value from their Approaches
Over one-half (54%) of Top Performers, those that are executing better at our pillars of machine monitoring, report they have significantly improved profitability. These leaders are leveraging best practices and technologies to support machine monitoring and optimization. They are:
Almost twice as likely to have an executive responsible for their strategy
More likely to combine machine data with enterprise systems, engineering data, and environmental data in addition to operational systems
Twice as likely to use prescriptive methods to act on data (although it’s still an emerging practice and only a small percentage have adopted this)
50% more likely to initiate actions by notifying operators with push notification in job-specific apps, and 75% more likely to be able to act on information in near real-time
To support this, they are about two-thirds more likely to have fully integrated systems, twice as likely to have a single suite of solutions, and much more likely to leverage an Industrial IoT solution.
The bottom line? Companies that follow best practices across the Pillars of Machine Monitoring and Optimization are more likely to significantly improve their company profitability.
*This summary is an abbreviated version of the research and does not contain the full content. For the full research, please visit our sponsor Siemens MindSphere®.
If you have difficulty obtaining a copy of the research, please contact us.
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[post_content] => How can manufacturers maximize value from their digital transformation efforts in 2021? In these uncertain times, it matters. There are some basics to leveraging Industry 4.0 trends. Success may be closer to your grasp than you realize.
This live webinar has passed, but please click here to watch it free, on-demand. Find out where trends are taking us and hear examples of how other manufacturers are already gaining benefits:
Agility and flexibility: Can you handle uncertainty and respond as the market changes? This is at the heart of Industry 4.0. It's also crucial to navigating the effects of COVID-19.
Build from a strong foundation: Will your new technology projects fail? Discover why they are doomed unless you have strong enterprise systems as underpinning.
Smooth data flows: Do your people always have a clear source of the truth? Why master data management is essential to speed and agility of response.
New business models: Can your company stay profitable and competitive in 2021? How manufacturers can move toward added-value services, improving sustainability, and new channels to market.
Watch the webinar replay now to hear shared perspectives from Julie Fraser, VP Research, Operations and Manufacturing for Tech-Clarity, and Mike Stein, Product Manager, Sage X3, as they discuss Industry 4.0 trends for 2021 (registration required). The session includes data, examples, and interaction.
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[post_content] => How much does poor collaboration cost your company?
Tech-Clarity’s eBook, What’s the Cost of Poor Collaboration? examines this topic for product development, sharing survey results from 155 manufacturers. Collaboration impacts every part of product development, and products cannot be developed or brought to market without it. While collaboration can be abstract and hard to measure, it's impact can be significant, especially when it is poor. The research reveals how it impacts your product design and development processes. It also identifies six areas of opportunity for collaboration improvements that can boost product profitability for your company.
Please enjoy the summary* below. For the full research, please visit our sponsor, Dassault Systèmes SOLIDWORKS (registration required).
5. Connect Engineers and Simulation Analysts throughout the Design Process
6. Support Market Validation with Improved Customer Collaboration
Recommendations
About the Research
Acknowledgments
Executive Summary
Collaboration Impacts Engineering Efficiency
Survey results show that engineering efficiency is the top goal for product development success. Effective collaboration is critical for improving efficiency, yet many companies struggle with it, while others don't recognize the underlying connection between the two.
While poor collaboration is not a new problem, its cost has never been higher. Today's complex products and
the ecosystems we develop them in have raised collaboration needs so much, 40% of engineering time is now directly impacted by their ability to work together. With this much time affected, poor collaboration can cost companies significantly. While many companies struggle with steep competition, shrinking margins, and uncertain economic times, this is a risk few can afford.
Poor Collaboration has a Business Cost
Unfortunately, poor collaboration is so common, engineers report they work with outdated data 28% of the time. This results in more rework, delays, and errors. These negative business impacts mean lower-quality products, higher costs, missed deadlines, and delays in time to market.
In fact, what has traditionally worked in the past is no longer enough to stay competitive in today's market. An overwhelming 93% of companies report they need to improve collaboration with different groups. On average, engineers say they collaborate with 21 people on simple products and 35 for more complex products. Collaborators include other engineers, manufacturing, suppliers, customers, product managers, and more. On top of all the other design responsibilities, that's a lot of people to manage, work to keep track of, and risk for errors, without helpful solutions in place. No wonder the cost of poor collaboration is so high!
New Opportunities for Solutions
Many companies just live with their collaboration challenges, but as collaboration needs increase, these problems become harder and harder to ignore. As new technologies, such as the cloud and innovation platforms, break down silos and collaboration barriers, companies can benefit from new approaches to solve these challenges. Those who do should gain a competitive advantage.
Recommendations
Next Steps
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations:
Understand the true cost of poor collaboration on both engineers and the entire company.
Invest in collaboration improvements to increase engineering efficiency.
Recognize the significance of collaboration requirements on engineers from the number of people involved, different departments, and processes impacted.
Do not overlook the importance of engineering collaboration with non-CAD users.
Ensure excellent collaboration between engineering and manufacturing to overcome knowledge gaps and support seamless hand-offs.
Support effective collaboration between design engineers and simulation analysts to empower engineers to catch problems and design more competitive products.
Incorporate customer collaboration into product development processes to support ongoing market validation and reduce the risk around market uncertainty.
Consider modern technologies, such as cloud and an innovation platform, to support and enable better collaboration processes.
*This summary is an abbreviated version of the research and does not contain the full content. A link to download the full report is available here. If you have difficulty obtaining a copy of the report, please contact us.
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What happens when automation and plant IT teams get past their differences and work together effectively? A chance for the company to outperform the competition and make progress on Industry 4.0 projects, based on more coherent manufacturing data management. In our recent research, Top Performers were more likely to have tightly connected IT and automation or operations technology (OT) organizations. This article provides highlights of the recent research, The Manufacturing Data Challenge: Lessons from Top Performers. The article touches on investments, integration, and where Top Performers really outshine others in people, process, and technology.Please visit Automation World to read the article.Please visit our sponsor, Critical Manufacturing, for the full research (registration required).
[post_title] => The Challenge of Manufacturing Data Management (article)
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[post_content] => Could deeper insights lower some manufacturing costs?For years, continuous improvement programs have successfully lowered operating costs. Now, companies are using advanced analytics in manufacturing to find even more opportunities. This is not your father’s analytics. Rather, it correlates among different data sources, including IoT, to deliver fresh insights for confidently moving to reduce costs.Julie Fraser's guest post on PTC’s blog outlines what advanced analytics is and the technologies that support it. Then it explores how advanced analytics can help save costs on asset maintenance and related production problems, reduce energy costs, and keep employees and communities safe. This short read will give you a new foundation to consider ways that advanced analytics in manufacturing might lower costs.For related research, readLower Six Manufacturing Costs with IoT. This eBook explores how advanced analytics works with other technologies to reduce costs in a manufacturing plant.
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Could deeper insights lower some manufacturing costs? For years, continuous improvement programs have successfully lowered operating costs. Now, companies are using advanced analytics in manufacturing to find even more opportunities. This is not your father’s analytics. Rather, it correlates among different data sources, including IoT, to deliver fresh insights for confidently moving to reduce costs….
How can semiconductor companies make their product innovation even more profitable? By moving beyond technical prowess. By retooling innovation for a modern lifecycle management approach for digital continuity. This white paper is based on a Tech-Clarity survey of 277 semiconductor and high-tech professionals to find out how semiconductor companies manage product development and product lifecycles….
What does Poor Quality Really Cost? Calculating the actual cost of quality problems is not straightforward. Some of the expenses are apparent, but many are not. Quality is important to customers and to business profitability. So, truly understanding the cost of quality warrants the effort. Fortunately, advanced manufacturing technologies can help analyze and understand expenses…
What current challenge have manufacturers been wrestling with for at least 35 years? System integration. Getting manufacturing data to flow has always been a problem. And it still is. Based on Tech-Clarity research The Manufacturing Data Challenge: Lessons from Top Performers, most of the 300 respondents’ companies need better ways to integrate IT and OT data….
How can IoT and advanced technologies lower costs in manufacturing? Lower Six Manufacturing Costs with IoT explores how new technologies can help keep age-old manufacturing expenses in check. The report discusses how the Internet of Things (IoT) and related technologies for monitoring and using data can streamline processes and support people in making profitable decisions….
How can Aerospace and Defense (A&D) companies streamline collaboration and create digital continuity? What should they look for in a PLM system to support a cohesive digital thread, especially given that their IT systems were not designed for remote work during a pandemic? This eBook takes a deeper dive into the data from our original,…
Tech-Clarity is pleased to announce that we are expanding our research team and extending our coverage of Digital Innovation, Digital Transformation, and Additive Manufacturing. Well-known industry thought leader and research analyst James White is joining Tech-Clarity as Vice President of Digital Innovation Research. James brings with him decades of experience in Digital Enterprise specializing in…
James White is the Vice President of Digital Innovation Research for independent research firm Tech-Clarity. He covers the Digital Enterprise specializing in Digital Transformation, Design Innovation, PLM, Industrial Additive Manufacturing, BIM, and other solution areas for manufacturers. He began his career in special purpose machine design before moving into the CAD/CAE/PLM industry focused on heavy…
Is cloud PLM the right option for your company? If so, what do you need to know? Take our Cloud PLM Advisor assessment to find out. The assessment leverages our research to assess your company’s readiness to transition to the cloud. Should you switch to a new system? Wait for your current solution to be…
How does your company stack up in its ability to monitor and optimize equipment performance using the IoT? Answer a few questions in our IoT Machine Monitoring Assessment and you’ll get a customized report that: Compares your capabilities to Top Performing companies Offers tailored recommendations to improve performance The assessment leverages our survey data to…
Semiconductor innovation is multi-faceted; can lifecycle management improve product and thus business success? This on-demand webinar features Julie Fraser sharing Top Performers’ best practices for digital continuity based on her new semiconductor industry research. Semiconductor companies are great at technical innovation, but many do not have all the capabilities they need for product profitability. The…
How can design engineers improve confidence in simulation results? Can cloud-based simulation help? Watch Michelle Boucher as she shares best practices from her research to explain how design engineers can get even more value from simulation. Simulation can be a powerful design tool by providing engineers with design guidance. However, some are concerned they lack the…
How can design engineers get even more value from simulation? What is the most effective way to aid design engineers in their ability to create more competitive products? Our new eBook, How to Survive and Win New Markets by Getting Even More Value from Simulation explores these questions. Today’s challenging economic times, worsened by COVID-19,…
How can manufacturers innovate through today’s global industry disruption and set themselves up for success as things settle into a new normal? Hear from Kichler Lighting’s Mehul Gala, Tech-Clarity’s Jim Brown, and Onshape’s Dave Corcoran. They’ll share their perspectives on how companies are adapting to the new reality and preparing for the future by: Enabling…
What did leading engineering software industry analysts think of the first virtual Autodesk University? What are their key takeaways from AU2020? Hear the discussion with Lifecycle Insights Chad Jackson, CIMdata’s Stan Przybylinksi, and Tech-Clarity’s Jim Brown led by Taxal’s Allan Behrens.
Have procurement organizations re-focused digital transformation investments due to COVID-19? Yes. Priorities are radically different, as the research shows behind Roadmap – COVID-19 and Digital Transformation: Unique Research Into Investment Priorities. What has changed is that companies are more focused on creating abilities to work remotely, connect, see, and analyze what’s going on in supply….
How do companies improve profitability by monitoring, analyzing, and optimizing equipment via the Industrial IoT? How has the COVID-19 pandemic impacted their plans? See what our survey of over 200 companies that manufacture, operate, service, sell, distribute, install, and/or integrate equipment finds about how the leaders operate in Tech-Clarity’s Pillars of Machine Monitoring and Optimization….
How can manufacturers maximize value from their digital transformation efforts in 2021? In these uncertain times, it matters. There are some basics to leveraging Industry 4.0 trends. Success may be closer to your grasp than you realize. This live webinar has passed, but please click here to watch it free, on-demand. Find out where trends…
How much does poor collaboration cost your company? Tech-Clarity’s eBook, What’s the Cost of Poor Collaboration? examines this topic for product development, sharing survey results from 155 manufacturers. Collaboration impacts every part of product development, and products cannot be developed or brought to market without it. While collaboration can be abstract and hard to measure,…
What happens when automation and plant IT teams get past their differences and work together effectively? A chance for the company to outperform the competition and make progress on Industry 4.0 projects, based on more coherent manufacturing data management. In our recent research, Top Performers were more likely to have tightly connected IT and automation…