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After years of hype, the digital factory—the comprehensive integration of data from development, production and suppliers via new hardware and software meant to increase efficiency—is gradually becoming a reality.

Integrating two warring camps will improve security and safety. It also will save billions.

Additive manufacturing firms are focused intently on speeding up the 3D printing process, radically expanding the development of printing materials, printing larger parts, wasting less material, reducing the cost of capital equipment overall and addressing issues that will lead to the move from prototyping to rapid manufacturing.

Summary of report from EGGELSBERG, Austria—Bernecker + Rainer Industrie-Elektronik GmbH, the 3,000-person firm that ABB recently said it would buy, shows Smart Manufacturing how it puts together automation PCs, or APCs, in a batch-size-one mode.

You don’t have to look too far to find tooling presetters that fit the machining requirements of just about any size shop. The value of off-line tool presetting—rather than stopping machine spindles to touch off tools as machines sit idle—continues to prove itself invaluable, especially to the smallest first-time user shops.

In preparation for mass customization, for starters, Japanese and German tech research officials today committed to expanding their joint work to establish a “social-technical or maybe ‘cyber-social’ environment where ‘digital companions’ and production lines communicate with humans” working in manufacturing, Andreas Dengel said in an interview with Smart Manufacturing magazine here at the CeBIT (Centrum der Büroautomation und Informationstechnologie und Telekommunikation) fair.

Many people want to implement IoT in their factories, and with the abundance of IoT platform technologies out there, they think it’s a breeze. But many challenges await those who don’t think things through carefully—challenges for which traditional IoT platforms do not have effective solutions.

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.

CENIT AG is negotiating the acquisition of all shares in Keonys S.A.S., Paris, one of the leading European PLM specialists based on the software products of Dassault Systèmes.

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