Shutterstock 2156705087 63b587e89acd7

How 3 manufacturers are overcoming maintenance challenges of factory automation

Jan. 4, 2023
How Nissan, Alloy Precision Technologies and KLN Family Brands are traversing the double-edged sword of factory automation

Machine technology continues to increase in its complexity. While automation can help factories to mitigate the effects of a more limited workforce, that same technology means more advanced machine diagnostics and analytics that require new skill sets. What’s a manufacturer to do?

In this article from our sister publication IndustryWeek, Jill Jusko investigates how three manufacturing operations—Nissan, Alloy Precision Technologies and KLN Family Brands—are traversing the double-edged sword of factory automation.

About the Author

Jill Jusko | Executive Editor, Industry Week

Jill Jusko has been writing about manufacturing for IndustryWeek since the late 1990s, having first joined the IW team as a freelance copy editor. She quickly became a regular team member and has been writing about all facets of manufacturing operations leadership ever since. She received her bachelor’s degree in journalism from Bowling Green State University. Prior to joining IW, Jill worked as a reporter at two daily newspapers, as well a trade publication serving the hospitality industry. She can be contacted at [email protected].

Sponsored Recommendations

Discover how IO-Link-enabled piezoelectric vibration sensors are transforming machine health monitoring offering deeper insights, fewer installation hurdles, and smarter maintenance...
Get some peace of mind and a higher level of protection into your machine designs with a comprehensive guide to machine safety. From the evolution of integrated safety logic to...
Cut through the complexity of machine design. Beckhoff's cabinet-free automation platform is transforming the industry, simplifying builds and reducing costs. This modular approach...
Learn how to evolve your machine design and engineering capabilities with real-world, practical use cases of ML and GenAI.