The Parliamentary Review - Manufacturing Edition 2015/2016

whitePaper | June 26, 2022

the state-of-the-art procedure and the currently valid standards are presented. Subsequently, existing gaps and possible issues related to additive manufacturing (AM) technology are pointed out. Finally, a feasible procedure is outlined. This first section deals with the process chain and their qualification and validation. Until recently, there was no standard definition of the AM manufacturing process steps. There was a broad consensus to divide the process into pre-, in-, and post-process, but there was no clear division.

whitePaper | May 23, 2022

Cost-effective digital manufacturing solutions are needed to keep factories and supply chains running smoothly while producing high-quality products–whether delivered by OEM, parts or assembly supplier, contract manufacturer, or manufacturing services supplier. IBM can help you cocreate a roadmap to a custom solution with a focus on leveraging existing OT investments,improving key metrics, exploiting digital tools, and using the right talent. We help you set your direction based on a proven Industry 4.0 reference architecture and industry standards, achieve scale by consistently deploying advanced shop floor technologies on an open platform, and unleash optimum value by selecting manufacturingprocess use cases to address immediate needs.

whitePaper | September 4, 2022

It’s the clarion call of today’s marketplace and the prime directive for executives in any business that designs or produces physical goods, no matter how simple or sophisticated. Fortunately, every product can be improved and made at less cost. But how quickly a company can satisfy such demands – before, say, its competitors do, or the market moves on to something new – is largely a function of the product-development cycle. Shorten that cycle, and you can improve the numbers across the board, from customer satisfaction to market share to profitability. However, one seemingly intractable barrier to faster product development lies within the traditional design process. That process starts with identifying a need in the market or within one’s organization; it ends with the manufacture of a finished product, whether a massive, complex assembly or one tiny part. In between are multiple iterations of designs and tests: engineers sketch out a solution, prototype and test it (or run a computerized simulation), and then go back to the design to address any shortcomings. But trade-offs complicate matters each time the cycle repeats: make a part lighter and it’s likely to become weaker, make it stronger and it will probably cost more, and so on. A workable, if not optimal, solution can usually be found. However, finding it often takes longer than the product-development timeline or budget will allow.

whitePaper | February 10, 2022

The Smart Industry Readiness Index (SIRI) comprises a suite of frameworks and tools to help manufacturers – regardless of size or industry – start, scale and sustain their digital transformation journeys. The ongoing COVID-19 pandemic and the reshaping of production value chains globally are spurring the manufacturing community to embrace digitalization with greater focus and urgency, motivated not only by potential gains in efficiency, but also by operational resilience. This renewed drive is further powered by the ongoing data revolution, where decision-makers increasingly expect key business commitments, plans and interventions to be supported through big data

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

whitePaper | February 24, 2023

Business demands have forced manufacturers to be more agile. Smart manufacturers are adopting technology, specifically digital twins, to move faster. Using a digital twin in a manufacturing environment can fast-track discovering bottlenecks, drive efficiencies, lower costs, reduce environmental footprint, and help manage risk. However, there is mystery around digital twins, from defining what they are and their strengths to the critical importance of an ecosystem approach to address the diversity of digital twin scenarios. The goal of this paper is to demystify digital twins, so more manufacturers can apply the technology and bring agility to their operations.