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.
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Manufacturers are accelerating use of Internet of Things (IoT) technology, according to a survey of 66 companies.
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Here’s something you can cut out and hang on your bulletin board if you run a manufacturing company, large or small. I’ve spent nearly 60 years thinking about the factory floor, and here’s how I believe it should be run.
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.
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.
At UGN, one of our core operating principles is sustainability. That means minimizing waste to improve efficiency, add value, and refine the manufacturing process for our automotive products when and where we can.
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.
Common misperceptions about lean manufacturing and automation systems lead many manufacturing managers to dismiss the use of automation in a lean setting.