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Modern manufacturing is rapidly adopting model-based definition (MBD). When employing an MBD strategy, the CAD model becomes more than the nominal to which all parts are measured and inspected against. MBD keeps the all-important digital thread intact—from design to manufacturing to inspection and quality reporting.

“Metrology and its relationship to manufacturing is rapidly evolving,” Ken Woodbine, president, Wilcox Associates, a brand of Hexagon Metrology (North Kingstown, RI), recently observed. “We are seeing larger quantities and faster speeds of measurement data collection. The next challenge is what to do with all that data.”

The classic manufacturing conundrum is how to make products quicker, cheaper, and better.

Nesting is the process of arranging parts to be cut from sheets of metal or wood in the most efficient manner possible in order to maximize yield and speed the cutting process. By reducing scrap and accelerating the cutting process, fabricators are saving on material cost while running more jobs.

Turning to software over paper reports does more than just save trees. Chris Mahar, Associate Editor of Manufacturing Engineering, talks with David McPhail, President and CEO of Memex Inc., about how manufacturers can utilize technology to improve efficiency, reduce downtime and boost productivity and profits across their business.

Visitors to the Valley of the Sun were recently treated to a dizzying display of software technology at Arizona’s Phoenix Convention Center. From June 4-7, the Siemens PLM Connection—Americas 2018 user conference hosted thousands of visitors from hundreds of manufacturing companies.

VKS [Visual Knowledge Share] develops an electronic work instruction solution designed to improve quality, productivity, and efficiency.

The U.S. Navy has awarded Northrop Grumman Corporation (NYSE: NOC) a $9.6 million contract, with options up to $40.5 million, to produce the Transducer Array/Nose Shell Assembly of the MK 48 heavyweight torpedo.

Manufacturers are accelerating use of Internet of Things (IoT) technology, according to a survey of 66 companies.

Manufacturers require a deep understanding of operations to make quick, data-driven decisions and keep production running in the face of unpredictable challenges.