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New collaboration to provide increased exposure of resources

An Israeli company has developed new artificial intelligence technology that promises to dramatically change how original equipment manufacturers and their suppliers conduct quality control inspections.

Manufacturing Engineering: What are some of the latest trends in simulation software for manufacturing? Uwe Schramm, CTO, solvers, optimization and multi-physics, Altair Engineering Inc., Troy, Mich.: I see three trends here. First, manufacturing sim

Mahr Inc., a global manufacturer of precision measurement equipment, will host a grand opening of its new Midwest Regional Customer Center July 25-26.

Technology came to the aid of Detroit Tigers management when they hoped to recapture some of the magic of the 1968 Detroit Tigers’ World Series-winning season. The 50-year anniversary celebration, held September 7-9, 2018, included on-field festivities in which the 16 surviving members of the 1968 team were presented with replicas of the World Series’ trophy.

Smart factory systems benefit from improved technologies, as well as proven applications.

On June 22-23, SME hosted a Smart Manufacturing Working Group meeting at Texas A&M University (College Station, TX) followed by an international workshop on Smart Manufacturing for the Factory of the Future.

Nuclear power has long been a clean, dependable source of energy throughout the world. However, as power plants age, concerns grow on their continued reliability. There are many components that make up the infrastructure of a nuclear power plant with the design intent to reduce radiation and contamination exposure to personnel, equipment, and the surrounding environment.

Flexibility has come to automation, perhaps as never before. And for industries that require precision machining, assembly, and measurement, automation technologies have never been more available.

Artificial Intelligence is weaved in with capacity management, cybersecurity, data science, diagnostics, ERP-PLM integration, location analysis, machine learning, predictive maintenance, process optimization, situational awareness and supply chain management.