There have been many process improvement trends in manufacturing over the decades, and none have had more significant ROI than machine monitoring. The increase in machine monitoring is owed in large part to the rise in popularity of the open and royalty-free interconnectivity standard MTConnect.
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While robots have been deployed in high-profile surgical applications in recent years, using a specialized apparatus like the da Vinci surgical system, the majority of industrial or commercial medical uses for robots are somewhat more commonplace.
Lean manufacturing principles and automation systems can coexist, although many lean purists contend that lean goals conflict with using automation. Smart applications of automation, however, can result in deployment of systems that are both automated and lean, with flexible manufacturing systems that can be easily reconfigured as factory operations change.
Speeding up programming tasks on CAD/CAM software ranks at the top of machine shops’ requirements when faced with making quality parts on a deadline. The more efficient a shop’s toolpaths are, the less chance that any programming problems result in wasting very expensive machine time on the shop floor.
Common misperceptions about lean manufacturing and automation systems lead many manufacturing managers to dismiss the use of automation in a lean setting.
An early pioneer in the fields of NC and CAD/CAM software, Patrick J. Hanratty, PhD, discovered his passion for computing and programming almost by accident, answering a newspaper ad seeking programmers in his hometown of San Diego after returning from service in the Air Force during the Korean War.
Highly realistic 3-D simulation software can greatly improve manufacturing processes, lending sophisticated visualization tools that help increase manufacturing productivity and product quality.
To stay ahead in the game, manufacturers constantly seek an edge over the competition. With today’s CAD/CAM software, the builders of aircraft, automobiles and other complicated systems get the innovative programming tools needed to coax the most performance from complex, expensive machine tools.
The issues around OEE are not its utility but the ease and credibility of the data used to calculate it
Process improvement encompasses a wide range of tools, techniques and strategies. When properly deployed, shop-floor data collection and monitoring systems can help factory-floor managers leverage key data metrics including overall equipment effectiveness (OEE) and total effective equipment performance (TEEP) that measure machine uptime and pinpoint bottlenecks or other problems in order to improve machining performance.