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Nesting, MRP Solutions Can Boost Fabrication Productivity

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.

Reducing Complexity in Assembly Equipment

In this podcast, John Derry, senior application engineer at Promess, talks to SME Media contributing editor Michael Anderson about reducing complexity in assembly equipment. Derry discusses how assembly systems may become unnecessarily complex--and how that complexity can reduce quality and increase costs. Derry goes on to describe effective ways of addressing these issues and to reduce and even eliminate unnecessary complexity.

Targeting the Skills Gap in Forming and Fabricating

As in other industries, U.S. forming and fabricating companies are experiencing a critical shortage of skilled labor. In this SME Media podcast, Alan Rooks, Editor in Chief of Manufacturing Engineering magazine, talks with Robert Tessier, National Director of Advanced Fabrication Technologies for Airgas about the skills gap in the forming and fabricating industry; changes needed in the education system to fill the need for skilled labor; how automation factors into efforts to reduce the skills gap; and efforts at Airgas to develop workers for manufacturing operations, including a special program for military veterans.

Tackling Downtime and Inefficiencies with Software

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.

Hexagon, Raytheon Developing Simulation Tool

Hexagon and Raytheon Technologies have partnered to deliver a simulation tool that will enable evaluation and optimisation of metal additive manufacturing (AM) processes through the prediction of thermal history and defects at the laser path and powder layer scale.