Reminders

Manufacturing Value Chain

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It seems of late that every technology or manufacturing event one attends includes some discussion of “digital twins” and their potential. CAD and CAE aficionados alike will say, accurately, that virtual modeling of products has been present in design teams and engineering work groups for years. So what’s different about today’s discussion on virtualization and digital twins?


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Although digital transformation (DX) is defined differently for manufacturers, depending on industry, size of company, or value chain, a common reason for DX is improved product and service innovation. Manufacturers can pursue advanced innovation approaches today and in the near future because of the rapid development of platform technologies, namely, cloud, mobile, analytics, and social, and innovation accelerators such as cognitive analytics, Internet of Things (IoT), 3D printing, and augmented reality (AR)/virtual reality (VR). Perhaps most game changing is the ability to track the quality and performance of connected products, processes, and people across product development, supply chain, manufacturing, and service. Simply put, it is finally possible, through these technologies, to truly manage the life cycle of products and their servicing and continue to improve them over time.


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Upon departing SAP’s Best Practices for Automotive event a few weeks ago in Detroit, I was struck by one thought: change is so rapid in this industry, that it is exciting, yet daunting to think about what we’ll be discussing next year at this event, and elsewhere.


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Ideation has long existed separately from the rest of the product lifecycle, managed and used by marketing, product management, and maybe sales. Connected everything (products, manufacturing, supply chain, service) is changing that, as is dynamic demand in highly competitive, local markets around the world. Ideation is a key component of a product innovation platform, and a key reason why manufacturers move to a platform approach – so they can handle changing, unique, customized demand.


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I had the opportunity to participate in a roundtable session on enterprise security at the IDC Digital Summit in New Delhi, India just about one month ago. I left the energetic discussion thinking about what security means to innovation.


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After participating in last week's IDC Digital Summit in Delhi, India, speaking with many of the executive attendees from a variety of companies, it's clear that digital transformation (DX) is a worldwide phenomenon, 3rd platform technology use is growing, and innovation across products and services is evolving.


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The time has come for connected enterprise quality management (EQM) — a pervasive, cross-enterprise, and integrated approach to quality management. Quality is too critical an initiative, according to our survey data and conversations with manufacturers, to be kept in its own silo, separate from design, engineering, supply chain, and manufacturing.


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The PLM market continues to evolve rapidly, due to the product, demand, and market complexity that exists, as well as 3rd Platform Technologies such as cloud. During this evolution over the past 10 years, there has been much discussion around the “democratization” of PLM and product innovation.


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Road Map to a Product Innovation Platform

By Jeff Hojlo

Manufacturers are moving to the next generation of product life-cycle management (PLM), a product innovation platform. How do you plan, evolve, organize, and execute upon this new vision? We've published a series of reports over the past two years that define and detail the value, provide a plan for scoping, and most recently, a roadmap for realizing an extended view of PLM across the enterprise and value chain.


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The past few years have been pretty exciting for the PLM market. First, manufacturers are looking to extend PLM to a product innovation platform so they can address the new realities today of complex product, supply chains, and demand. This trend is accelerated by 3rd platform technologies (cloud, mobile, analytics, social) and innovation accelerators (IoT, cognitive computing, 3D printing). Second, manufacturers now are exploring the efficacy of augmented reality (AR) and virtual reality (VR) to complement field service, manufacturing execution, and product design, as well as to address the complexity dynamic I noted above.


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