Making the value of technology clear
Engineers Need Empowerment
For companies that develop machines, especially industrial equipment manufacturers, engineering is critical to success. Global competition is so steep that much of what makes a machine stand out is the engineering behind it. However, many challenges hold engineers back (see graph).
Increasing Complexity
As machines become more innovative, they also get more complex. More components, smarter products, numerous configurations, mechanism calculations, and more drive product complexity. In turn, the more complex machines become, the more complicated engineering decisions get, making it difficult to balance cost and quality. These factors make predictability difficult. Plus, minor errors easily contribute to cost overruns and delays. Changes also require agility to quickly pivot and adapt without compromising lead times.
Business Impacts
An overwhelming 98% of machine designers report that these challenges impact the business,
hurting profitability (see graph). If engineers are not more empowered, products will cost more. Meanwhile, quality issues can lead to missed delivery dates, market delays, or fewer key features, making you less competitive. Consequently, customers may go elsewhere, leading to revenue losses. At the same time, dealing with increasing complexity or addressing problems related to errors, manufacturability issues, and other difficulties hurt productivity.
Increase Engineering Bandwidth
Engineers need to be empowered to be as productive as possible to have the capacity to deal with the top machine design challenges. Unfortunately, previous Tech-Clarity research has found that engineers waste 33% of their time on non-value-added work.1 By reducing some of that time, engineers will have more bandwidth to address the top challenges of machine design.
Ensure machine designers can easily access product data in real-time from anywhere. This will limit their time searching for data, recreating work
because they couldn't find the data, or reworking designs due to outdated information.
What are the key factors to consider when selecting warehouse management software (WMS)? As fast as supply chains are changing, how can you be ready for the future? Our new WMS Buyer’s Guide has the answers, informed by interviews with companies who have found WMS that keeps up with their business.
Please enjoy the summary below.* For the full report, please visit our sponsor Körber Supply Chain (registration required).
For related research, stay tuned for the upcoming webcast with Julie Fraser of Tech-Clarity, Kenny Williams of Parts Town, and Victoria Brown of Körber Supply Chain.
In today’s challenging supply chain environment, every company needs all of the advantages they can get. Enterprises compete on best practices they have discovered: choose a WMS designed to mold to those, and keep up as you learn, grow, and change.
Optimize the Operation
Today’s enterprise needs more from WMS than just executing the same flows repeatedly. The goal is to improve what you are doing, even as things change. The opportunity to optimize flows with simulation for the warehouse is enormous. Predictive analytics are not just a shiny buzzword but are available today in some WMS.
Future-ready
Looking ahead is the core to choosing the right WMS. Companies must prepare for what's next, whether it’s automating more, hiring new people, serving new markets, or just knowing something unforeseen will happen. Ensure your WMS is ready.
Total Cost of Ownership
Look for WMS with a good fit, self-configuration, robust integration, optimization, and a reliable software partner. All of the above adds up to a lower total cost of ownership (TCO) for an enterprise. It also points to the potential for better performance for the warehouse, the enterprise, and the entire supply chain.
*This summary is an abbreviated version of the research and does not contain the full content. For the full research, please visit our sponsor Körber Supply Chain (registration required).
If you have difficulty obtaining a copy of the report, please contact us.
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How are manufacturers improving manufacturing engineering performance with better practices and technology? Join this webcast as Jim Brown previews survey results from our 3D and Virtual Simulation in Manufacturing Engineering study.
Companies are under increasing pressure to deliver more complex and personalized products to market faster to meet consumer demands. As the pace of design, engineering and manufacturing climbs, so does the challenge of maintaining high levels of quality without incurring additional cost and delays.
The virtual build process focuses on technology and process that can bridge the gap that exists between engineering and manufacturing and enable companies to achieve their goals of satisfying customer demand and capturing market share without sacrificing profit or quality.
Join Tech-Clarity’s Jim Brown and Dassault Systemes Delmia’s Strategic Business Development Director Adrian Wood in a discussion about how manufacturing engineering is evolving.
Register now for the final webcast of this three part series hosted by Dassault Systemes Delmia.
Click here to watch the first webcast in this series, also featuring Jim Brown and Adrian Wood.
[post_title] => The Future of Manufacturing Engineering
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There is a clear, industry-wide transition of software solutions to the cloud, but not all solutions are moving at the same pace. Cloud PLM adoption has accelerated, but how quickly are companies transitioning? And how can they make sure that they continue to drive business value from PLM while enjoying the benefits of cloud computing?
Register for this webcast on Thursday, June 30th at 11am ET to hear Tech-Clarity’s Jim Brown share previews from his recent survey on the State of Cloud PLM 2022 and Aras’ Bruce Bookbinder as he offers insights from his conversations with customers. Join us for this interactive discussion.
[post_title] => How Fast is PLM Moving to the Cloud?
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[post_content] => Are your manufacturing workers safe? Many companies don’t know. Yet, the risk of not knowing is high.
The global COVID-19 pandemic has brought a new focus to the health and safety of onsite frontline employees. Those workers are in high demand, and part of knowing who is at risk comes down to their training, certifications, and qualifications. Another part is analyzing the types of issues that commonly arise in each work area and having preventive measures in place.
A modern and proactive enterprise approach to health and safety software and processes is essential. For many companies, it’s quite different from the piecemeal and reactive processes currently in place.
Join this webinar on June 17th at 12PM EST with Tech-Clarity’s Julie Fraser and ComplianceQuest’s Michael Bower to learn more. Be a part of this important discussion about the rightful place of health and safety in your company’s strategy. Hear about ways to lower workplace health and safety risks.
[post_title] => Could you do more to Reduce your Manufacturing Workplace Safety Risks?
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How can manufacturers improve product development performance and more consistently hit their product development targets? We surveyed over 200 companies to find out.
Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required).
How can PLM, traditionally an engineering-centric solution, drive innovation, agility, and operational excellence? Manufacturers need to create agility in their business and processes so they can respond to increasing business risk and bounce forward better than ever. To do this, Engineering and product development have to fundamentally change. They have to focus on the big picture, not just engineering, to develop profitable products. PLM’s role needs to expand to support them.
Read our eBook to understand how to choose the right PLM to support operational excellence.
Please enjoy the summary* below. For the full research, please visit our sponsor QuadRite (registration required).
PLM implementations must go beyond the basics to support operational excellence. We’ll discuss four important ways that PLM has expanded in order to support operational excellence:
"To start, PLM supports document management, design control, and training. That sets the foundation for product development process compliance. Then, you can build on that to support operational needs like NCMR, suppliers, CAPA, change control, and complaint handling as you go to the commercial phase." - Scott King, Director, IRIDEX CORPORATION
"We started with ECOs, took some small bites, then expanded it more broadly by implementing it with supply chain, customers, drawings, orders, contract tracking, and source tracking. They lend themselves perfectly to PLM." - John Baumann, CEO, THINGAP, INC.
The four dimensions of PLM expansion provide a framework to understand what’s needed to drive operational excellence. Traditional, Engineering-centric PLM systems are not sufficient for fast-moving industries like high-tech and medical devices. Companies in these industries need a PLM solution built for the enterprise and the supply chain.
Lastly, manufacturers must get a solution that delivers on the promise of PLM. Systems selections and implementations should be driven by cross-functional teams that represent all aspects that impact product profitability. Selection requirements should span the enterprise and focus on how the system supports the new role of engineers and product developers. This is the way that companies can ensure that they select the right PLM systems to drive operational excellence.
*This summary is an abbreviated version of the research and does not contain the full content. For the full research, please visit our sponsor QuadRite (registration required).
If you have difficulty obtaining a copy of the report, please contact us.
[post_title] => PLM for Operational Excellence
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What does future-proof manufacturing plant floor software look like? Is it possible to have all the flexibility and choices each site needs and still adhere to enterprise standards? Yes; find out what modern MES architecture can promise for this uncertain era.
Listen to the recording of this fireside chat to find out:
Tech transfer is critical to competitiveness in the life sciences industry. Yet most companies still rely on document-based, manual, people-dependent processes to transfer analytical and manufacturing methods. How can life sciences companies digitally transform tech transfer to improve efficiency and success?
Join this webcast to hear the benefits of:
Jim Brown
President
Digital Innovation Research
Tech-Clarity
Dr. Daniela Jansen
Director of Product Marketing at
Dassault Systèmes BIOVIA
[post_title] => Improve Tech Transfer with Digital Transformation (webcast)
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Can improving design data management practices improve innovation and product development performance? We surveyed 131 companies to understand how they manage CAD files, bills of material, and other product-related information to find out.
Please enjoy the summary below.* For the full report, please visit our sponsor Siemens (registration required).
For related research, please see two of our prior surveys on design data management best practices to see what’s changed: Design Data Management Maturity Improves Profitability, Analyzing Best Practices for Managing Designs from 2017 and Best Practices for Managing Design Data from 2012.
Tech-Clarity research shows that effective data management helps companies design innovative, high-quality products quickly and efficiently. This report shows how data management best practices relate to business performance based on 131 responses to a web-based data management survey.
Researchers benchmarked participating companies on their performance related to quality, innovation, product development speed, and efficiency. Survey analysis compared companies with the highest performance in these important product development metrics with their data management approaches.
Top Performers Have More Effective Data Management
The data shows that Top Performing product developers are more likely to have very effective data management capabilities. Top Performers are more likely to be able to:
Is it time to change the way manufacturing processes are developed? Products have dramatically increased in complexity and time-to-market expectations continue to shrink. Is a virtual, 3D based manufacturing engineering transformation the way for manufacturing engineers to ramp up products quicky without compromising quality?
Join Tech-Clarity’s Jim Brown and Dassault Systèmes Delmia’s Strategic Business Development Director Adrian Wood in a panel discussion investigating the need and potential to evolve the way manufacturing processes are developed.
Register now for the first of a three-part webinar series.
You can also download the related research from that page, or learn more about the State of PLM in CPG 2022 research on our site.
[post_title] => The Future of PLM in CPG (webcast)
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Jim Brown is hosting a panel of experts to discuss the challenges, benefits, and approaches for deploying simulation technology as a part of a digital twin initiative. Join the fourth interactive discussion in the AMC Bridge Executive Series on Tuesday, April 26, 2022, at 12:30 p.m. EST.
Speakers:
To view past webcasts, please visit:
https://tech-clarity.com/aec-digital-twin-webcast/10947
https://tech-clarity.com/cloud-engineering-software-webcast/10541
https://tech-clarity.com/industrial-additive-webcast/10420
[post_title] => The Role of Simulation Technology in Digital Twins (webcast)
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Heavy equipment is becoming more connected, autonomous, smart, and electrified. Given the increased complexity, how can manufacturers optimize equipment performance without compromising time-to-market? Learn how companies can increase performance engineering maturity to develop more innovative, high-performance equipment with fewer prototypes and lower costs.
Register for this live Siemens webcast on April 26th at 11am to learn the four ways equipment manufacturers can drive higher performance engineering maturity.
For related research, please read our Increasing Performance Engineering Maturity eBook.
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How much better would your products be if you could improve engineering productivity by reducing engineering time wasters?
Engineers regularly lose productivity to non-value-add tasks that not only rob them of their ability to innovate, but also threaten their company’s ability to compete, differentiate, and grow. Imagine the potential of identifying and removing the most common non-value-add activities engineers face and empowering them to focus on better products. This research, The Business Value of Reducing Engineering Time Wasters, examines how engineers spend their time, where they lose productivity, and the impact on the business. It then identifies solutions and approaches to reduce time wasters. Based on a survey of 228 manufacturers, it focuses on smaller and medium-sized companies and looks at the challenges and opportunities from their perspective.
Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required).
Too Many Time Wasters
Unfortunately, engineers report spending too much time on non-value-added work with too many interruptions, taking them away from critical innovation work. Furthermore, 96% of surveyed companies say this loss in engineering productivity comes at a significant business cost due to missed deadlines, higher costs, less innovation, and poor quality. To overcome productivity losses, one approach is to manage product data better and make it accessible to those who need it, when they need it.
Reclaiming Wasted Time
This report identifies major engineering time wasters and examines them across the dimensions of both company size and product complexity. It explores how companies of all sizes reclaim lost time by examining the use and value of PLM (Product Lifecycle Management) solutions to centralize data across multiple domains, manage processes, and collaborate better. PLM users reported fewer changes due to outdated information and errors, significantly reducing non-value-added work and shortening development times. This report also looks at how companies select and use PLM solutions, including cloud-based implementations.
Based on industry experience and research for this report, Tech-Clarity offers the following recommendations to smaller and medium-sized companies:
What should you look for in a systems engineering solution for your company to manage multi-discipline systems?
As products become smarter and more connected, they also get more complex. Expert systems engineering practices can help to manage this complexity, especially when you are developing multi-discipline systems. The right technology can also be critical to support those practices. This buyer’s guide, Engineering Buyer’s Guide for Multi-Discipline Systems: The Expert Solutions Guide, provides a framework to evaluate systems engineering solutions to help you select the right solution for your company. It provides checklists for software requirements across multiple aspects of systems engineering, requirements to make the implementation a success, vendor requirements, and special considerations. By evaluating these requirements, you will be better positioned to select the right solution to successfully manage multi-discipline systems.
Please enjoy the summary* below. For the full research, please visit our sponsor PTC (no registration required).
Fierce global competition continues to drive companies to seek new ways to competitively differentiate their products. Many achieve this differentiation through smarter and more connected products. This approach creates many innovative possibilities for new products and services.
While smarter products and connectivity create exciting opportunities for innovation, they also bring unique challenges and add new levels of complexity. Much of this complexity comes from requirements to integrate mechanical components, electronics, and software. Connectivity adds further complexity as you add sensors, streaming data, and an ecosystem of connected systems. Whether you are a systems engineer, product architect, or domain-specific engineer, addressing this complexity requires expert systems engineering practices.
To set the foundation for expert systems engineering practices, companies should focus on the entire systems engineering process, ensuring there are solutions for all aspects of systems engineering. Expert systems engineering practices will help companies become even more competitive in ways that will lead to higher growth and greater profitability.
The right technology is an essential part of implementing and supporting these expert systems engineering practices. The right technology will enable improved collaboration, better traceability with a digital thread, and earlier visibility to potential problems. This will result in a more efficient development process while reducing the risk of finding errors late in the process, helping to avoid delays and increased costs. This buyer’s guide will help manufacturers select the right software to support systems engineering.
This guide comprises four major sections covering systems engineering software tool functionality, service requirements, vendor attributes, and special company considerations (Figure 1). Each section includes a checklist of key requirements to support your selection process for systems engineering software tools.
Expert systems engineering practices are vital to take advantage of innovation available through 
embedded software and the Internet of Things. The opportunities to create smart, connected devices can help companies set their products apart from the competition, helping them win new customers and increase revenues. However, bringing together systems of mechanical components, electronics, and software is complex. That complexity grows exponentially as companies try to meet the various needs of customers with different configurations. Connected systems add even further complexity as you add sensors, streaming data, and connected ecosystems.
Complexity increases the risk that things will go wrong. The impact of these problems can have a significant business impact and hurt product profitability. Implementing expert systems engineering practices, with the right software tools to support them, can manage this complexity, making it easier to successfully bring profitable products to market. Even if today’s smart, connected devices are relatively simple, as they evolve and offer critical services such as those that impact safety, they will increase in complexity and need the same level of expert systems engineering practices.
These practices and the supporting solution are not just limited to systems engineers either. There are a variety of IoT-related roles involved with planning, designing, and architecting connected systems, such as IoT solution architects, who will struggle with the exact same challenges as systems engineers. Companies planning for growth should consider both current and future needs.
However, there are so many aspects of systems engineering; determining the right solution for your company can be very difficult. Using a high-level list of tool and process evaluation criteria such as the ones in this guide can help narrow down potential solutions. The lists provide a quick “litmus test” to determine if a solution and partner are a good fit before conducting detailed functional or technical reviews. In the end, it is crucial to ensure that functionality, service, vendor, and special requirements are all considered when selecting a solution.
How can manufacturers bounce forward from disruption with smart manufacturing? Read our short post for some insights from our research and then join a live event to learn from Tech-Clarity's Jim Brown and a variety of other speakers in a live Industry 4.0 event.
A version of this post originally appeared as a guest post on the FactoryEye site.
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Is PLM living up to its potential in consumer packaged goods? Is it ready to support today's digital transformation strategies? What is the status quo for PLM in CPG? We surveyed over 150 companies to find out.
Please enjoy the summary below.* For the full report, please visit our sponsor Kalypso (registration required).
Product Lifecycle Management (PLM) promises enhanced product innovation and faster time to market, leading to higher market share and increased profitability. Who doesn't want these strategic, top-line benefits?
PLM implementations, however, typically focus on increasing control, compliance, governance, quality, and product development efficiency. Those are valuable benefits, but are they enough? Is PLM living up to its potential? And is PLM ready to support today's digital transformation strategies?
Extend PLM
CPG companies can achieve greater benefits if they extend their PLM systems to more people, greater functionality, and additional processes. The most commonly reported driver of significant new value for CPG companies is extending PLM to more people. In many cases, this may be possible with their existing PLM solutions. The same is likely true for extending PLM to more processes. For some, they may also be able to implement capabilities in their existing system that are currently going unused.
Improve Integration
In addition to extending PLM, or perhaps supporting it, is better PLM integration. Between one-third and one-half say that better integration with design tools would add significant value. Integration increases efficiency, collaboration, and the ability to iterate design options. This integration may include formulation, packaging, label design, and CAD tools. Beyond tool integration, many companies report they would gain higher value with better / more integration with business systems, which likely includes ERP and potentially others like CRM and MES.
The majority of CPG companies believe their existing PLM systems are adequate for their current needs. But they also recognize that PLM is vital
to achieving their highly strategic, digital transformation initiatives. The current status quo of using multiple systems, which are typically customized and not fully integrated into the ecosystem, is an inhibitor to achieving digital transformation and extended value. Not surprisingly, the majority of surveyed participants don’t believe their current PLM system will meet their company’s future needs.
Top Performers point the way toward the future of PLM. They adopt PLM as a platform for the enterprise and supply chain that is more integrated, more advanced, more widely adopted, and kept more current. It’s important to note that the systems have typically been heavily customized, and not everyone can afford the tradeoffs between customization, cost, and keeping implementations up to date. But they are rewarded with better innovation, product development, and compliance – all of which help drive higher profitability.
The Future is Bright, But There is Work to be Done
PLM is already driving a lot of value, but the status quo finds most CPG companies unprepared for the future. PLM needs are changing, and PLM must adapt and evolve. CPG companies that want to retain or improve their product innovation performance must continue to improve their PLM implementations and capabilities.
*This summary is an abbreviated version of the ebook and does not contain the full content. For the full report, please visit our sponsor Kalypso.
If you have difficulty obtaining a copy of the research, please contact us.
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[post_date] => 2022-03-28 19:14:22
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How can increasing performance engineering maturity help manufacturers ensure they’ve fully optimized equipment performance? How does “shifting left” with simulation and closed-loop feedback help improve performance without compromising project due dates?
Please enjoy the summary* below. For the full research, please visit our sponsor Siemens (registration required).
Increasing Product Complexity
Harder targets are made even more challenging because of increased product complexity. Equipment is more electrified, autonomous, connected, and configurable than ever. Companies must adopt systems, and systems-of-systems, engineering approaches. At the same time, manufacturers are adopting new materials such as composites, advanced manufacturing methods including additive manufacturing, and innovative design techniques such as generative design. These innovations create designs that can’t be easily validated using historical tests and product performance, demanding new approaches.
Simulation is Critical, but not Enough
Computer Aided Engineering (CAE) has clearly helped manufacturers overcome complexity and reach new performance levels. But the time has come to explore new digital technologies. Traditional simulation benefits may no longer meet the demands of digitalization trends.
In order to get products right the first time, and to “shift left” optimization to get to the best design faster, companies have to be able to predict equipment performance in a variety of facets, including:
What do industry experts and your manufacturing peers have to say about smart manufacturing? Join this live event on April 28th in Cleveland, Ohio to find out.
Our own Jim Brown will keynote the conference, sharing his views on how manufacturers can “bounce forward” from recent disruptions with smart manufacturing solutions. Then you’ll hear from a host of great speakers and have the opportunity to join roundtable sessions to learn from the presenters, panelists, and peers alike.
And if that’s not enough, the Cleveland Manufacturing event starts with lunch and is followed up with a happy hour. Join us to share your experience and learn from others.
List of speakers:
How much better would your machine designs be if engineers wasted less time on non-value-added work?
Unfortunately, machine designs have grown so complex that engineers waste significant time on non-value-added work. Consequently, they often lack the bandwidth to meet all of these expectations. An overwhelming, 98% of machine designers report that their challenges negatively impact the business. Consequently, it can be hard to identify conflicts and find the time to fully evaluate essential engineering decisions affecting quality and cost. As a result, many struggle to avoid cost overruns and risks to delivery dates.
This research identifies six strategies machine designers can implement to reduce non-value-added work.
Please enjoy the summary below.* For the full report, please visit our sponsor Dassault Systèmes SolidWorks (registration required).
For related research, you may be interested in our other eBooks How to Reduce Non-Value-Added Work in Engineering and Industrial Design: 7 Ways to Reduce Non-Value-Added Work which provide additional insights on reducing wasted engineering effort.
Engineers Need Empowerment
For companies that develop machines, especially industrial equipment manufacturers, engineering is critical to success. Global competition is so steep that much of what makes a machine stand out is the engineering behind it. However, many challenges hold engineers back (see graph).
Increasing Complexity
As machines become more innovative, they also get more complex. More components, smarter products, numerous configurations, mechanism calculations, and more drive product complexity. In turn, the more complex machines become, the more complicated engineering decisions get, making it difficult to balance cost and quality. These factors make predictability difficult. Plus, minor errors easily contribute to cost overruns and delays. Changes also require agility to quickly pivot and adapt without compromising lead times.
Business Impacts
An overwhelming 98% of machine designers report that these challenges impact the business,
hurting profitability (see graph). If engineers are not more empowered, products will cost more. Meanwhile, quality issues can lead to missed delivery dates, market delays, or fewer key features, making you less competitive. Consequently, customers may go elsewhere, leading to revenue losses. At the same time, dealing with increasing complexity or addressing problems related to errors, manufacturability issues, and other difficulties hurt productivity.
Increase Engineering Bandwidth
Engineers need to be empowered to be as productive as possible to have the capacity to deal with the top machine design challenges. Unfortunately, previous Tech-Clarity research has found that engineers waste 33% of their time on non-value-added work.1 By reducing some of that time, engineers will have more bandwidth to address the top challenges of machine design.
Ensure machine designers can easily access product data in real-time from anywhere. This will limit their time searching for data, recreating work
because they couldn't find the data, or reworking designs due to outdated information.
How much better would your machine designs be if engineers wasted less time on non-value-added work? Unfortunately, machine designs have grown so complex that engineers waste significant time on non-value-added work. Consequently, they often lack the bandwidth to meet all of these expectations. An overwhelming, 98% of machine designers report that their challenges negatively impact…
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