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Manufacturers are facing shrinking product lifecycles with frequently changing customer demands. As a result, they need agile production and flexible factory layouts that can easily be modified whenever needed.

As with any digital transformation process, the devil is in the details, and there are many potential pitfalls that can derail projects.

When designers at Siemens started using virtual reality (VR) to quickly evaluate early-stage ideas, the usually slow and costly design-and-iteration process went from days and hours to minutes.

The economic challenges brought forth by COVID-19 are causing a more intense focus in manufacturing on the need for the kind of alacrity achieved with digital tools and the kind of digital savvy achieved with strong partnerships.

Until just a few years ago, if a vehicle maker wanted to test the process for making a newly designed composite part at full scale, the company’s R&D engineers would call one of its Tier Ones and ask to schedule a trial run on the composites fabricator’s machines during off hours.

In a recent demonstration of the vendor-agnostic Smart Manufacturing Innovation Platform (SMIP) from CESMII, project partners first helped managers of North Carolina State University’s water purification plant get off the dime and analyze the data they were collecting with smart instruments.

Fostering human-centered innovation by developing powerful, easy-to-use tools is at the heart of the new products, enhancements and services showcased during the Siemens Digital Industries Software 2020 Media & Analyst Conference, a two-day virtual event hosted by the Plano, Texas-based company on June 16 and 17.

Factory safety is not a theoretical issue for Gabe Glynn, CEO of the wearable tech firm MākuSafe.

When the ergonomics team at General Motors decided to field test wearables to augment their plant workers’ physical abilities, they partnered with body mechanics experts who collect data in a scientific way—and talked with users.

Managing sensor performance has become a must-have for manufacturers. The advent and rapid adoption of IoT technology, enabling smart manufacturing systems, has created a two-fold scenario. Intelligent systems at once provide for near-real-time systems monitoring and create a new prediction problem.