Pro-Union Workers Plan Protest at Auto Parts Assembly Plant

February 24, 2015

CLEVELAND, MS—Pro-union workers at Faurecia’s automotive seating assembly plant here are planning to march today to protest what they say are low wages and poor working conditions at the facility. MORE

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Events

July 23, 2020

Autonomous Bin Picking for Cobots: Is it Finally Here?

Bin picking comes in many shapes and sizes, from high payload automotive and heavy equipment manufacturing applications, to pick and drop e-commerce order fulfillment and part sortation applications. But one area with unique requirements is bin picking applications for machine tending where precision pick-path-and-place and rapid deployment is required.

August 11, 2020

How Cobots Can Be Leveraged in the COVID-19 Age

The COVID-19 pandemic had a major impact on all industries, with manufacturing being hit particularly hard. As the industry restarts operations following shutdown, leaders struggle to create the “new normal.” Experts cite automation and technology as two key factors in helping companies succeed going forward. Leading the automation pack are collaborative robots or “cobots” – robots that are safe, easy to program and cost-effective.

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Poll

Supply Chain

The coronavirus epidemic has begun to disrupt the global manufacturing supply chain for a number of OEMs, including Airbus, Hyundai and Tesla. How resilient is your supply chain network?

Moderately resilient: We have good visibility to the supply network. It’s hard to justify investments to modify our supply chain footprint. We focus more on managing disruptions once they occur.

Highly resilient: We have good visibility to the supply network. We view flexibility and resilience as necessary investments. We can shift sourcing, manufacturing or distribution within our network fairly rapidly.

Not resilient: We are dependent on our existing sourcing, manufacturing and distribution footprint. We must find other ways to compensate for changing conditions. We have yet to invest in analytics to support network decision making.

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