Making the value of technology clear
Challenges Reflect Lack of Information and Ability to Optimize
Manufacturing engineers must overcome significant challenges to design and validate production processes. The most commonly reported challenge is untimely product design data. This hampers accurate, timely process design because planners can’t access trusted product details in time to optimize production plans and provide feedback on manufacturability. They also share challenges optimizing complex processes, which is likely becoming more complicated due to vehicle electrification.
In addition, respondents report challenges predicting the impact of their decisions on sustainability, inaccurate design information, visualizing assembly processes, and the time required to build prototypes.
Conclusion
Artificial intelligence holds the promise of entirely new insights for better decision-making. However, is it doing that in your company today? Manufacturers have long suffered from discipline-specific or “siloes” of data and information. Increasingly, those siloes have their own specific AI or analytics.
September 27, day 3 of Smart Manufacturing Now, Julie Fraser will facilitate the discussion. Attendees were asked to bring their questions, thoughts, and experiences for this interactive short-version of the MESA Smart Manufacturing Community Supply Chain Group discussion.
Note that the Smart Manufacturing Community had these mini-sessions each day of the conference:
Monday 9/25 was Smart Manufacturing, Robotics, and Internal Logistics for Smart Connected Factory
Tuesday 9/26 New Capabilities in Manufacturing Operations Software
Thursday 9/28 Design for Manufacturing with Digital Thread and Digital Twin.
[post_title] => Getting Beyond Siloes of AI for Supply Chain Decisions
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Nexus
I’m going to focus on Nexus because it’s new, it’s so important to the Hexagon vision, and it was one of my biggest takeaways from the conference. Why is it so important?
Two significant partners, NVIDIA and Microsoft, are already involved with Nexus. Jensen Huang, Founder and CEO of long-term partner NVIDIA, shared his vision for how Nexus and their Omniverse platform will work together to provide the benefits of AI to the industrial metaverse. Microsoft’s VP of Customer Innovation, Andy Pratt, shared how Nexus will support digital twins. It’s clear that a lot of thought has already been put into these partnerships around Nexus.
Beyond these larger partners, Hexagon announced Nexus for Developers at the conference. This capability provides APIs, SDKs, templates, and training that allow partners to build native apps, custom workflows, and “powered by Nexus communities.” They shared that their partner Altium was the first to pilot Nexus for Developers by creating a new solution for the electronics industry.
By opening up the platform, Hexagon provides partners (and customers) the opportunity to innovate and do more with their solutions than Hexagon can offer on their own.
Path to the Future
Nexus is a significant part of Hexagon’s future technology plans and they are using it to build the next generation of their applications and create a path to the cloud. They’ve already launched a number of apps and are in the process of introducing more. In addition, they are developing more platform capabilities that can be leveraged by both Nexus and partner applications. There is more detail here than I can cover, I encourage you to look at their roadmap to learn more as it is growing rapidly.
One of the important things to recognize about Nexus is that it’s not a replacement for existing systems. EVP and Nexus GM Stephen Graham explained that Nexus is intended to complement enterprise systems. It’s focused more on agility than control and works more as a system of engagement as compared to a typical system of record (like PLM). Nexus will bring automation and enable new feedback loops that will make processes more automated, efficient, and flexible. It will enhance current solutions by adding AI and visualization and support integration across solutions. This allows Hexagon to leverage their current solutions more effectively while they build out future offerings. The introduction of systems of engagement is an exciting new trend that we’re following closely, and Hexagon looks well aligned to help customers get more from their systems of record.
Industrial Metaverse
There is a lot of hype around the industrial metaverse. Beyond all of the hype, there is also value. With Nexus, Hexagon’s solutions offer the ability to connect real-world performance from the physical world with the digital twin. Their goal is to leverage simulation and AI to improve designs and the real world. Beyond that, Nexus has a goal to automate decisions in real-time to increase value by acting in the real world. This is an area that we look forward to learning more about. Look for more autonomy from Hexagon and Nexus in the future.
It’s also an area where partner collaboration, for example with NVIDIA, offers the potential for a lot of future innovation. For example, VP of Omniverse & Simulation Technology for NVIDIA Rev Lebaredian explained how companies can combine and simulate designs earlier to save money, reduce waste, and increase sustainability. He shared an example where companies with complex factories could bring together digital twins of a variety of assets, such as buildings, conveyors, robotics, and other equipment from different suppliers to simulate and find problems earlier. The potential is compelling.
Wrapping Up
Nexus is a significant new direction for Hexagon. It’s still relatively early, but their vision is strong and they’ve demonstrated real progress.
There was a lot more to the conference, but I hope this is a start in understanding what’s new with Hexagon. Thank you Robin Wolstenhome and Fiona Batchelor for your help coordinating schedules and customer discussions as I navigated my first Hexagon Live experience, and to countless Hexagon leaders who helped me learn more about Hexagon and their solutions.
How can machine builders improve the way they work with the companies that use their products to create more collaborative, mutually valuable relationships? This eBook explores five practical steps manufacturers can take to improve machine builder – operator collaboration and increase value for both themselves and the customers operating their machines.
Please enjoy the summary below and visit our sponsor Siemens to learn more about digital manufacturing solutions machine builders. You can also download the full eBook to learn more.
For related research, please read prior eBooks, The Machine Builder Digital Twin, Increasing Equipment Design Velocity, and Increasing Performance Engineering Performance.
[post_title] => Five Software Characteristics Battery Manufacturers Need to Succeed (Guest Post)
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How can a Center of Excellence (CoE) prevent common challenges with manufacturing operations management (MOM)? In this new book published by ISA, long-time consultant Grant Vokey explains the functions and structure of successful CoEs. This solid book has sections to support data-driven management, continuous improvement (CI), Industry 4.0, manufacturing execution system (MES) implementations, and strategic planning and management.
Tech-Clarity’s Julie Fraser reviewed this book in draft form and provided input on an excellent manuscript. The Tech-Clarity survey eBook The Manufacturing Data Challenge research is cited several times to illustrate common challenges and show the keys to success.
This CoE book builds logically from background materials into more specific whys, hows, and keys to success. The book includes information about standard ISA topics such as MOM, ISA-95, and ISO 9000. It has valuable illustrations to support deeper understanding. Julie's favorite parts are the easy-to-follow examples and real-life experiences from Grant's career that bring home the value of a CoE.
Thanks to Grant Vokey and the ISA publishing team for providing us the opportunity to support this work. We believe many manufacturers will benefit from the logical flow of this book and the range of topics it covers for a CoE to support excellence in operations.
[post_title] => Tech-Clarity Research in New ISA Book CoE: The Key To Data-Driven Manufacturing
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With all of the excitement about artificial intelligence, in part generated by the publicity generated by ChatGPT, what are the practical ways AI in construction can improve performance and profitability?
Jim Brown will moderate a panel of practitioners and technology innovators to discuss real-world implementations for AI in construction. The panelists include:
Jim Brown joined PTC’s VP of Strategy Partnership, Christine Wolff, to share his thoughts about improving field service by leveraging the IoT in episode 20 of PTC's Speaking of Service Podcast. Jim and “Wolffie” discuss the importance of service transformation given current economic conditions that make profitability and asset longevity crucial. 
Jim shares insights from his recent Buyer’s Guide including why to start with a business strategy instead of taking a technology-driven approach and shares seven areas companies can focus on to drive better service performance and profitability.
For more details from the podcast and how to achieve service transformation with the IoT, please see our Buyer’s Guide on Improving Service with IoT.
[post_title] => Speaking of Service: Seven Ways to Improve Service with IoT
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[post_date] => 2023-08-28 09:00:57
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The cloud PLM transition is underway in the manufacturing industry. How should companies make the transition? I’m joining this webinar to share my latest research on SaaS PLM and discuss our PLM selection recommendations with Aras’ Bruce Bookbinder.
Whether your company is moving to SaaS PLM because it’s time to update your old system or for more strategic reasons like digital transformation (or both), it’s important to understand and prioritize the different kinds of value that the cloud can offer. We’ll discuss a variety of options and their implications on achieving business value.
Please join this Aras-sponsored webinar on September 14th at 10AM EST / 4PM CET.
For background information for the webinar or to learn more about the cloud PLM transition, please read our eBook: Seven Keys to Improving Service with the IoT. 
What defines Manufacturing in the Age of AI? How much progress are companies making toward Industry 4.0? What data management elements have leading manufactures put in place to support rapid decisions? Our eBook Manufacturing in the Age of AI explains the findings of our survey of over 300 manufacturing professionals. It reveals answers to these questions and more.
Please enjoy the summary* below. For the full research, please visit our sponsor Critical Manufacturing (registration required).
For additional research, please read our Manufacturing Data Challenge eBook exploring explores the many challenges and lessons in Industry 4.0. Additional content includes The Challenge of Manufacturing Data Management article and a recorded a session of the webinar revealing significant findings of research on the topic of manufacturing data management.
In these competitive times, continuous improvement is crucial, but it’s not always easy to pinpoint where the biggest benefits lie. How can you prioritize manufacturing improvement opportunities to ensure maximum value to the business? This Buyer’s Guide points to an array of software characteristics to support such decisions. You need digital means to support greater confidence in your decisions about which projects to fund when.
Please enjoy the summary below. For the full buyer’s guide please visit our sponsor, PTC (registration required).
For related content, A New Era of Continuous Improvement, shares results from manufacturers, consultants, and associations to validate the continuous improvement (CI) notions in the white paper; our eBook, Getting Beyond Percentages to Insights with OEE, shares insights on how your overall equipment effectiveness (OEE) metrics could accelerate improvement; and find out the difference between a typical continuous improvement program and one that's better in our Improving Continuous Improvement infographic.
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 report, please contact us.
[post_title] => Confidently Prioritize Manufacturing Improvement Opportunities
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What most contributes to a supply chain having a positive impact on the business? Which disciplines and data sets make the most difference in supply chain resilience? Learn what Top Performers have to say about these that’s different. Julie Fraser, Tech-Clarity’s VP of Research for Operations and Manufacturing, will discuss initial findings of a soon-to-be released survey of 229 industry professionals. We will discuss supply chain findings including:
How can companies leverage the digital thread to grow their top line and market share through better customer experiences? Our new eBook teaches companies how to adapt people, processes, and technology to improve revenue and customer experiences by connecting the product digital thread from design through product commercialization.
Please enjoy the summary* below. For the full research, please visit our sponsor Propel (registration required).
To learn how extending the digital thread into the customer experience can help, please read our earlier eBook: Extending Digital Threads to the Customer Experience.
Provide Consistent, Compelling Product Experience
One way to improve customer experiences, and business performance, is by feeding compelling, accurate, and consistent product experiences across channels to entice customers and influence their buying decisions. It’s important to recognize, however, that the job doesn’t end there. Experiences can’t be static. They have to evolve as products, messaging, customer needs, channels, and markets change and expand.
Digitally Transform the Product Experience Pipeline
Conveying consistent product experiences relies on speed and accuracy. Today’s processes, however, are typically manual, slow, disconnected, and error-prone. To drive growth, companies need reliable, trusted information as soon as it is available. It’s time to digitally transform the product information pipeline. Without this, companies can’t be fast and accurate enough to create compelling customer experiences that drive growth across channels and the product lifecycle.
Understand the Need / Priority
Most people recognize that designing a great product is only half of the job. They have to effectively bring them to market. Beyond the initial introduction, they also need to support channel growth. Ember Technologies, Inc. is a global company whose mission is to harness the power of temperature control to transform how the world eats, drinks and lives. “Ember started out strictly eCommerce, then added Amazon, before growing into a large retail business,” says Ember’s Siobhan Hunter. Rapid growth adds effort and complexity because companies with a trajectory like Ember must continue to provide consistent product experiences even as they expand to broader channels.
Recognize Broad Applicability
Consumer goods companies like Ember are more likely to have cross-departmental processes defined to link product design with commercialization. But even these companies typically have room for improvement. The evolution of the digital thread, however, applies to virtually every industry and channel. For example:
Agile Product Development: This approach applies the Agile methodologies that have been successful in software development to the entire product. Agile focuses on customer needs and providing value quickly. Work is completed in short intervals, or sprints, typically two weeks long, and validated along the way. The goal is to have a workable, high-quality product in less time. In contrast, the traditional Waterfall method waits until development work is complete before testing. Typically, teams then spend months fixing problems. An Agile approach could be particularly valuable for companies looking for high growth. For these customers, PTC suggests Onshape and Arena and David Katzman explained how these solutions support an Agile methodology.
Model-Based Digital Thread: With this approach, companies need the digital thread across the lifecycle. This supports traceability, reuse, efficiency, and a more disciplined approach. For companies that value this and profitability over growth, PTC recommends Creo and Windchill. PTC also reassures customers that all Creo data is upward compatible with Creo+.
Smart products have become increasingly critical to product success. In fact, Tech-Clarity's Profiting from Smart Products found that 86% of survey respondents indicated that smart products are important for their company's long-term success and profitability. PTC already supports this with PTC Integrity for Application Lifecycle Management (ALM), including Model-Based Systems Engineering (MBSE). However, with the acquisition of Codebeamer, PTC expands their solution to support software development for manufactured products with a cloud-ready solution. With software continuing to be a major innovation driver for today's modern products, this remains an important area for a complete product development solution.
PTC has several offerings to support product service, including PTC Arbortext for technical publications and service manuals, Servigistics for optimized spare parts management, and Vuforia. for 3D work instructions and augmented reality. PTC significantly expanded this portfolio by acquiring ServiceMax, the largest acquisition in its history. Neil Barua explained that ServiceMax supports field service operations. It keeps a record of prior issues, previous maintenance, and part replacements. The offering is further strengthened with ThingWorx to monitor the product fleet for more predictive and preventative maintenance.
Integrated workflows with Ansys Granta, a Materials Information Management solution (Ansys Materials), Creo, and Windchill, will allow engineers to assess the impact of different materials on performance, recyclability, and carbon footprint. Ansys CEO Ajei Gopal also joined Jim Hepplemann on stage to discuss the strength of their partnership in other ways to support for digital transformation and simulation-driven design with continued and tighter integrations across products lines including Windchill and Ansys Minerva.
PTC and aPriori are also planning for greater interoperability between aPriori, Creo, and Windchill so that engineers can leverage aPriori to assess cost, manufacturability, and sustainability. Engineers will be able to understand their impact on the manufacturing footprint and cost as the design evolves. aPriori's software will also make improvement recommendations.
Beyond these expanded partnerships, PTC signed the Science Based Targets initiative (SBTi) commitment letter, pledging to reduce near-term emissions reductions and meet long-term net-zero targets.
We look forward to hearing how these investments offer PTC customers even more value. Thanks to Coray Thibaut de Maisieres, and Ernestine Tiongson for hosting us at PTC LiveWorx 2023.
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Machine builders must continuously raise the bar to compete in today's dynamic, global markets. How are they leveraging digital twins to improve how they quote, design, produce, install, and commission more complex, smart, connected, flexible, and tailored equipment than ever? Further, how can they extend their digital twins to improve installation, commissioning, and service?
Please enjoy the summary below and visit our sponsor Siemens to learn more about machine builder digital twins and other solutions for machine builders. You can also download the full eBook to learn more.
For related research, please read Increasing Equipment Design Velocity and Increasing Performance Engineering Performance.
Digital Twin Potential
Machine builders must continuously raise the bar to compete in today's dynamic, global markets. How are they leveraging digital twins to improve how they quote, design, produce, install, and commission more complex, smart, connected, flexible, and tailored equipment than ever? Further, how can they extend their digital twins to improve installation, commissioning, and service
Increase Digital Twin Maturity to Drive Value
Digital twin improvement opportunities span the product lifecycle and offer significant new business value from bids through service. Our research shows that top-performing manufacturers use more advanced, mature digital twin capabilities.1 But few machine builders have tapped the full potential.
Continuous improvement through a comprehensive digital twin spanning the lifecycle is valuable, but it is a journey. There is plenty of room for most manufacturers to improve and drive increased profitability, but they can't do it all at once. Instead, they can implement the basics and find ways to expand the value through higher maturity at each step. This eBook introduces four areas where machine builders can improve their digital twins, sharing a combination of first steps and more advanced actions to drive business value and increase profitability.
Focus on People and Process
The end goal is a better way of doing business, an integrated design and development process supported by the machine digital twin. To achieve this vision, make sure to get key people and departments aligned with the vision and the transformation. Help them understand the big picture, the steps to achieve it, and how it will help them in addition to helping the company.
Enable the Transition
New ways of working require the right tools. It's essential to evaluate your current software solution portfolio to ensure they are sufficient for the job. An effective machine digital twin requires support from a variety of engineering solutions, including CAD, multiphysics CAE, software design, and PLM. It also requires industrial and factory automation solutions, including CAM, MES, HMI, SCADA, virtual commissioning, and the IIoT. Depending on maturity, it may also require asset lifecycle and service management solutions (ALM and SLM).
Think Holistically
It's important to consider more than individual tools. Evaluating how solutions work together to support the digital thread across the lifecycle is crucial. The machine digital twin is best served by a platform of solutions that work together. The platform should provide a central data model, the digital twin backbone, kept in configured context. It should be able to be acted on from different angles so everyone can contribute and get what they need in a secure, collaborative environment. Together, these product innovation platform capabilities support the machine digital twin.
It's essential to acknowledge, though, that no single platform will support every need. It's critical that the platform is open to allow integration and offers the capability to develop new applications that pull information together for specific purposes, ideally in a no-code or low-code environment.
Let’s Get Started
There are many options and a lot to do, but the value should come fast and be extended over time. Let's get started.
[post_title] => The Machine Builder Digital Twin
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PLM conferences are back, and it seems there’s a conference a week right now! The first one I attended this Spring was Aras’ ACE conference. This
was a special one for me because it was my first time attending in person. I was planning to attend in 2020 but it was canceled due to the pandemic, and this event marked the first in-person ACE since 2019. You could feel, and hear, the energy and excitement customers and Aras employees shared about being back in person as you walked the halls and the exhibit floor. It was a large and excited crowd of customers and partners eager to share information and experience with each other and learn from Aras.
Other than the excitement of the event and the enthusiastic customer support, there are several main things I took away from the conference:
[post_title] => Aras Showcases Differentiation and Strengths at ACE 2023 (Insight)
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[post_content] => I feel rejuvenated after a briefing with Apprentice. Their Tempo suite is a fresh approach that marries the latest enterprise mobile and SaaS technologies with composable applications for pressing industry issues. Yes, there’s a SaaS MES – but there is more for the plant, quality lab, enterprise, and manufacturing network. It serves the product lifecycle, starting with preclinical and clinical.
The company came into being in 2014. The founders saw the industry move toward large molecule and personalized products, and they predicted the resulting radical changes in the structure of the industry. They believed older software could not support production needs such as faster changes, higher mix, continuous processes, demanding processes to grow and culture biologics, and tight collaboration with contract manufacturers. So they leveraged the most modern B2B SaaS technologies to develop the GMP-compliant Tempo Manufacturing Cloud.
The latest addition to the Tempo suite is Connected Manufacturing Network, to connect internal and external sites and teams. Capabilities include product lifecycle, enterprise recipe management, external manufacturing collaboration, and streamlined tech transfer. This real-time data-sharing capability could revolutionize how biopharma companies manage global and CMO operations.
The Tempo product line started with Tandem Virtual Collaboration, a connected worker platform with headset. Augmented Work Instructions for EBR, Procedures management, line clearance, training, and an electronic logbook came from that foundation. MES includes built-in quality, no-code procedure and recipe authoring, and enforcement. LES for the quality lab leverages some of the strengths of the MES but tailored for scientific testing and managing samples, materials, and equipment.
Apprentice.io has been growing rapidly for the past five years and has just raised another VC round to keep that momentum going. Like the company itself, their team of VCs includes both traditional high tech and life-science-focused investment companies.
I now understand how a company less than a decade old got on the Gartner Magic Quadrant for the second year in a row and moved into the visionary quadrant. The time appears to be right to infuse the most modern B2B software capabilities into the biopharma production process.
Thank you, Kristen Kucks and Marie Forshaw, for taking the time to get me up to speed!
What most contributes to supply chain resiliency? What are the challenges and impacts of doing it well? Can better collaboration, cadence, or technology improve manufacturers' capability to respond to disruptions? What does it take to recover with operational continuity and minimal negative impact? What is the role of departments beyond Supply Chain?
Tech-Clarity is conducting research on these topics right now. Julie Fraser, Tech-Clarity’s VP of Research for Operations and Manufacturing, will discuss what questions are included and why. We will explore these topics:
[post_title] => Supply Chain Resiliency: Taking the Road Less Traveled
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How can manufacturers improve manufacturing engineering? We surveyed 177 people directly involved with manufacturing engineering and found that modernizing processes and technology drives higher manufacturing engineering productivity and performance. These improvements are crucial to profitability in the industrial equipment industry as customers demand high quality, more personalized products at increasingly faster time to market; all despite rising product and manufacturing complexity.
Survey results show that Top Performers waste less time on non-value-added activities, find issues sooner, and spend less on physical prototypes. They accomplish this through best practices, including more advanced collaboration and communication methods and increased use of 3D and simulation, to plan and validate manufacturing operations with digital twins.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes DELMIA (registration required).
This eBook shares additional data analysis and insights for the industrial equipment industry from our Transforming Manufacturing Engineering with Virtual Build research. Watch this three-part on-demand webinar series with Jim Brown to learn how manufacturers can improve manufacturing engineering and technology.
Manufacturing is more complex than ever. Complexity has increased in three areas; products, manufacturing processes, and markets. Today’s products are offered with increasing numbers of variants and configuration options and require a combination of mechanical, electrical, and software components. Today’s production may include industrial additive manufacturing capabilities, and involves increased automation. In addition, increasing demand for automation and new power sources including electric, hydrogen, and solar are accelerating the rate of change in the industrial equipment industry. Finally, manufacturers are shifting production and reshoring as the industry is trying to cope with supply chain issues. Despite these, manufacturing engineers need to decrease cycle times and improve quality.
Challenges Reflect Lack of Ability to Visualize, Data Challenges
Manufacturing engineers must overcome significant challenges to design and validate production processes. The most commonly reported challenge is the inability to visualize assembly processes. This makes it challenging for planners to optimize process plans and provide feedback on manufacturability. The inability to experience production virtually leads to the need for time-consuming, costly physical mockups.
They also report challenges with obtaining accurate, timely product design data which limits the ability for manufacturing engineers to work in parallel to shorten time to market. Finally, respondents report challenges with the time required to build prototypes, their ability to capture knowledge for reuse, and optimizing complex processes.
Too Much Wasted Time
Survey respondents identified manufacturing engineering inefficiency as both a challenge and profitability requirement. Researchers further inquired about the amount of manufacturing engineering time that participants estimate their companies spend on non-value-added activities, including:
How can auto manufacturers improve process design performance in the face of increased complexity? We surveyed over 150 people involved with manufacturing engineering and found that modernizing processes and technology drives higher automotive manufacturing engineering productivity and performance. These improvements are crucial to profitability in the transportation and mobility industry as customers demand high quality, more personalized products at increasingly faster time to market; all despite rising product and manufacturing complexity.
Please enjoy the summary* below. For the full research, please visit our sponsor Dassault Systèmes DELMIA (registration required).
For related research, please read our Transforming Manufacturing in the Transportation Industry eBook.
Challenges Reflect Lack of Information and Ability to Optimize
Manufacturing engineers must overcome significant challenges to design and validate production processes. The most commonly reported challenge is untimely product design data. This hampers accurate, timely process design because planners can’t access trusted product details in time to optimize production plans and provide feedback on manufacturability. They also share challenges optimizing complex processes, which is likely becoming more complicated due to vehicle electrification.
In addition, respondents report challenges predicting the impact of their decisions on sustainability, inaccurate design information, visualizing assembly processes, and the time required to build prototypes.
Conclusion
How can auto manufacturers improve process design performance in the face of increased complexity? We surveyed over 150 people involved with manufacturing engineering and found that modernizing processes and technology drives higher automotive manufacturing engineering productivity and performance. These improvements are crucial to profitability in the transportation and mobility industry as customers demand high quality,…
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How can manufacturers improve manufacturing engineering? We surveyed 177 people directly involved with manufacturing engineering and found that modernizing processes and technology drives higher manufacturing engineering productivity and performance. These improvements are crucial to profitability in the industrial equipment industry as customers demand high quality, more personalized products at increasingly faster time to market; all…