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Manufacturers are accelerating use of Internet of Things (IoT) technology, according to a survey of 66 companies.
Challenged by an increasingly niche-oriented automotive market, The Chrysler Group (Auburn Hills, MI) must increase the number of models it offers while decreasing its capital investment. The company plans to offer 50% more models in 2009 compared to 2004, according to John Felice, VP of manufacturing, technology and global enterprise for Chrysler.
Batch and queue is the hallmark of a mass production system. Parts are processed, moved in large quantities to the next process, wait for their turn, are processed, and moved as a batch to the next process.
Workers in the oil and gas industry continue to be one of the groups at the highest risk of injuries and fatalities on the job compared to all other U.S. industries. The most recent data from the Bureau of Labor Statistics (2015) revealed that out of 120 workplace deaths in the mining, oil, and gas extraction industry, 74 of them occurred within the support activities for oil and gas operations.
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.
Reverse engineering is becoming multifaceted and complex. The key drivers: new metrology sensors and more capable software, enabled by ever more powerful and cheaper computing.
Secure, accurate workholding sets the stage for consistent machining productivity. Depending on the parts and processes involved, workholding can be as simple and temporary as a plain vise or clamp or as complex and permanent as a machined and fabricated fixture that is custom-designed to hold a unique part.
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.
Taiichi Ohno is often quoted as declaring: “Without a standard, there can be no improvement.” The principles of lean do not work well when everyone is allowed to choose their own work method or work sequence in which to do a job: the outcome is unpredictable; flow and pull are impossible. This reduces throughput and the carefully crafted process develops unanticipated outcomes.