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Industry 4.0 is inevitable, and everyone is looking to find a way forward. But manufacturing leaders who focus only on the technology involved will be frustrated—because the new industrial revolution is just as much a culture and people thing as it is a technology thing.

One of the fastest growing automotive markets in the world is India, and one of the most successful companies there is a company called Maruti Suzuki. Maruti formed a partnership with Suzuki in the 1980s.

Autodesk (San Rafael, CA) and Paragon D&E (Grand Rapids, MI) hosted the Smart Manufacturing Celebration, April 26-27, at the newly-expanded Paragon D&E facility in Grand Rapids, MI. Attendees heard from industry experts about disruption factors manufacturers are facing, including in the automotive and aerospace manufacturing sectors, and how manufacturers can not just survive in disruption, but thrive in it.

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.

Why don’t more manufacturers in the United States use smart manufacturing technologies like AI and machine learning to reduce waste, achieve predictive maintenance and enhance their automation systems? Five CESMII roundtable panelists share their insights.

Making operators and process designers better informed in real time, with a focus on making intelligent decisions with enhanced data, is the key to updating U.S. aerospace and defense manufacturing capabilities.

An intelligent and highly flexible transport system enables a wide variety of production steps to be flexibly combined in a modular, powerful and versatile machine for the assembly of automotive fuel lines.