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The most important step in digitizing any manufacturing or supply chain process is analysis of the ROI and business case and being able to demonstrate success to company leaders.

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.

AP&T provides a case study of the work it did at a plant in Italy of Fiat Chrysler Automobiles (now Stellantis).

The COVID-19 pandemic clearly proved challenging to the manufacturing industry in myriad ways. Now, as nations and industries begin to navigate their way forward as restrictions are lifted, manufacturers have an opportunity to put into practice some lessons learned.

Aerospace and defense sectors are emerging from the pandemic more resilient while other sectors, including automotive, struggle meet demand.

The three keynote speakers of HOUSTEX, EASTEC, SOUTHTEC and WESTEC—the Manufacturing Technology Series—offer perspectives pertinent to manufacturers in general, but of particular use to small and medium-sized manufacturers.

EV manufacturers must overcome a unique set of challenges to meet future customer expectations. Among them is the challenge to create innovative designs that meet safety requirements, performance criteria and keep costs down in the face of growing competition and a widening skills gap.

Businesses are starting to recover from the pandemic—some more than others—and the need to deliver a seamless experience from online to the store is requiring a rethink of entire supply chains.

Karma Automotive, a luxury electric automaker, provides a case study of how cloud computing can reshape EVs.

We can be proud of how companies have remained resilient throughout the pandemic. That resiliency will be further challenged.