Guide to Integrate Large-Format Additive

whitePaper | March 17, 2022

Manufacturing industry professionals must corral and understand massive amounts of data from many systems to drive operational efficiencies, higher levels of service, supply chain resiliency, and ultimately a complete view of the business. Having the ability to explore the impact of and interplay among changes in production efficiency, product quality, customer demand, and service excellence isn’t possible without visibility into data and meaningful data analytics. This “big data” approach to manufacturing operations and supply chain optimization can deliver big results and is at the heart of the digital transformation initiatives of many industrial companies.

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 | December 21, 2022

In today’s manufacturing companies, CAD, PLM and ERP solutions are traditionally implemented as stand-alone solutions, which each has its own data structure, interface and capabilities to fulfill Engineering, Operations and Manufacturing requirements respectively. However, with the rise of Industry 4.0, for manufacturers to stay competitive they must be able to implement solutions that interconnect information and processes not only across the internal enterprise and departments but external partners and suppliers as well.

whitePaper | August 9, 2023

The industrial sector contributed approximately one-third of the 35 billion metric tons of carbon dioxide emitted in 2020. Industrial market engagement is going to be crucial to meet the climate change targets being set by governments around the world. However, challenges extend beyond just the industry’s carbon footprint, with concerns around raw material depletion, harmful emissions, pollution, and water consumption.

whitePaper | May 4, 2020

From cookies to cars, the manufacturing industry employs innovative technology to produce quality goods efficiently and get them to customers quickly. With the explosion of internet-connected devices and people who access them, cybersecurity is a higher priority than ever.

whitePaper | September 15, 2023

Global megatrends are creating increasingly frequent disruptions to economies and organizations, which in turn are reshaping global value chains and pushing industries and manufacturing to transform themselves. These megatrends include geopolitical tensions and economic instabilities, climate change, technology integration and changing people dynamics.