At the Digital Manufacturing and Design Innovation Institute (DMDII) in Chicago on March 27, Siemens demonstrated its approach to the “Fourth Industrial Revolution.” At its annual U.S. Innovation Day, Siemens demonstrated real-world applications of digital solutions that it says will reduce costs, increase speed, develop new business models, and improve quality of life.
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When you’re managing a global manufacturing enterprise, there’s no choice but to go big. Large manufacturers, and even mid-sized builders, need the latest and best available technology in fast, real-time enterprise resource planning (ERP) software to handle the rapidly changing situations on the shop floor, often at multiple manufacturing sites located anywhere in the world.
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.
Manufacturers need to embrace artificial intelligence to make their operations more efficient, a consultant said.
Spend enough time on shop floors and you’ll learn about the two different groups of skilled workers that reside there. On one side are the old-school machinists—skilled craftspeople who use their hands, eyes and ears to guide machine tools. On the other side are the programmers and engineers.
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.
ABB and Microsoft Corp. today announced a strategic partnership to help industrial customers create new value with digital solutions. Customers will benefit from the unique combination of Microsoft’s intelligent cloud and ABB’s deep domain knowledge and extensive portfolio of industrial solutions.
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.