Bottom line: Every manufacturer has the potential to integrate machine learning into their operations and become more competitive by gaining predictive insights into production. Machine learning’s ...

Factory automation plants utilize machine learning’s ability to understand and build mathematical models. These models, over time, learn to perform tasks on their own as opposed to being programmed to ...

It is only by gaining an overview of the entire production process, right down to the chip level, that today's metalworking operations can achieve the transparency needed to uncover weak spots, ...

To improve plant floor productivity, manufacturers have typically focused on finding ways to optimize individual assets using metrics associated with overall equipment effectiveness (OEE). Over the ...

Semiconductor Engineering sat down to discuss artificial intelligence (AI), machine learning, and chip and photomask manufacturing technologies with Aki Fujimura, chief executive of D2S; Jerry Chen, ...

Common in the manufacturing industry, the predetermined overhead rate for machine hours is a production overhead cost. The rate is used to identify the expected costs of machine production, which ...

Daejin Advanced Materials USA Inc. is investing $10.2 million to establish its second US manufacturing and processing facility to meet the increased demand for trays for electric vehicle batteries.

Whirlpool Corp. is moving some of its washing-machine production to a plant in Clyde, Ohio, from one in Monterrey, Mexico, executives of the home-appliance maker said. The shift—another sign of the ...

Improving semiconductor manufacturing yields up to 30%, reducing scrap rates, and optimizing fab operations is achievable with machine learning. Reducing supply chain forecasting errors by 50% and ...