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Efficient manufacturing calls for coordinated systems of shop personnel, equipment and software. These systems increasingly include robotic technology, as manufacturers recognize the reliability, repeatability and flexibility that robots provide. According to the International Federation of Robotics, the number of industrial robots in use worldwide will increase to around 2.6 million by 2019, about one million more than in 2015. Approximately 70% of industrial robots are used in the automotive, electrical/electronics and metal and machinery industries.

An eternal truth is that manufacturing will always push the limits on cost, performance, and especially quality. “Tolerances never get looser, they always get tighter,” remarked Gene Hancz, product specialist, CMM of Mitutoyo America Corp. (Aurora, IL).

HP Inc. and Deloitte Consulting LLP have created an alliance to help accelerate the digital transformation of the global manufacturing industry.

Manufacturers are accelerating use of Internet of Things (IoT) technology, according to a survey of 66 companies.

Stefan Ritt, vice president, Global Marketing and Communications (Lübeck, Germany; Wixom, MI), is a recognized leader and expert in AM metals business and applications. He has seen current metal additive manufacturing (AM) applications and developments giving him a unique perspective on this market and where it is going.

PITTSBURGH — Stratasys Ltd. introduced a prototype of a 3D printing system that maintains low-volume output continuously as the company moves to expand its presence in industrial production.

Immersive visualization in the manufacturing world has proven its value time and time again during design reviews, proof-of-concept validation, and customer engagement, decreasing time to market and minimizing risk. Organizations are experiencing faster buying cycles, decreased time-to-market, and minimized risk as they optimize designs in virtual space.

The ongoing digital transformation of manufacturing comes baked-in with many uncertainties, and the automotive business is no exception.

Today, the ideal factory can achieve levels of self-controlling (and perhaps self-learning) production processes, in which production reacts autonomously to changes or faults and takes appropriate measures.

Manufacturers must wrestle with the “Black Hats” of the cyberworld in order to keep processes secure