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Fastems LLC has launched three new products to enable educational institutions and manufacturing enterprises to benefit from its advanced Digital Manufacturing (DM) solutions for factory automation. In addition to functioning as a classroom teaching and learning tool, DM enables companies to do training and testing before ramp-up and simulation during production.

Teaching at Desert View High School in this close-knit area of Tucson, Ariz. can be quite a challenge. Our student body is about 90 percent Hispanic, and in many households both parents have to work.

Mastercam, CAD/CAM software developed by CNC Software Inc., has made free training available to those looking to sharpen their skills. From now until June 30, 2020, users can sign up to take a full set of Mastercam core classes on Mastercam University.

Respondents in a survey said supply chain planning drives better business performance.

Some of the key trends in manufacturing are brought about by convergence of the design and manufacturing industries. With manufacturers under more pressure than ever to deliver better products faster and at lower cost, the need to connect and automate design and manufacturing processes to reduce iterations, errors, and delivery times is becoming critical.

Connected manufacturing and digitization technologies are spurring many of the major innovations in CNC machine controls that help machine shops cut metal and create parts as quickly and efficiently as possible. In most cases, software leads the way in helping both CNC programmers and operators on the shop floor to easily manufacture parts with the highest possible precision.

Maybe your company specializes in aerospace or medical components, and you need to produce complex geometries in metals too tough to cut via conventional machining methods.

Speeding the flow of jobs through the shop, while maintaining top quality, ranks among the hallmarks of any successful manufacturing operation’s goals.

Well into the 21st century, the medical industry faces a host of intriguing challenges, from aging populations to a growing range of personalized and at-home diagnostic and care devices—all set against a backdrop of increasing digital collection, transfer and storage of sensitive patient data.

Amid vigorous growth in their industry, product lifecycle management (PLM) software developers are exploiting the cloud and machine learning to manage data and enhance the users’ experience.