Cupertino, CA -- (SBWIRE) -- 04/09/2015 -- Forecast Errors, a weekly e-newsletter sponsored by Ultriva shared Mark Rosenthal's article published in Quality Digest about how kaizen differs from a kaizen event. The article concluded that the ultimate kaizen event is supply chain visibility. With these data, forecast errors can be avoided remarked Narayan Laksham, founder of Ultriva.
Rosenthal reviewed the distinctions between kaizen and a kaizen event. This kind of examination is vital to support the core lean manufacturing principle of continuous process improvement. Too often dire consequences in poor inventory forecasting re-engage manufacturers' lean initiatives rather than a constant examination of where there is waste in time and resources.
The newsletter shares methods, modes, and tools used in a variety of supply chain industries. The newsletter explores forecast errors as the difference between the actual and predicted value. Forecast Errors reports that what separates best-in-class companies from those that struggle with accuracy is how they root out (and learn from) forecasting errors. A forecast error is the difference between the actual and predicted value. The consequences are expensive inefficiencies that can be resolved with lean manufacturing technology.
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Ultriva's (http://www.ultriva.com) cloud-based platform leverages seamlessly integrates with leading ERP and MRP systems, to deliver an end to end pull based replenishment solution. Ultriva, based in Cupertino, CA, implements a global demand driven manufacturing model by providing full visibility, scheduling, and sequencing of production of customer orders. Ultriva was named one of the Great Supply Chain Projects of 2014 by Supply & Demand Chain Executive magazine and recently named one of 50 Best Supply Chain Blogs of 2014 by SupplyChainOpz. The company's global footprint is increasing rapidly with implementations in wide variety of industry sectors and enterprises such as Magellan Aerospace, CareFusion, Emerson, Ingersoll Rand, McKesson, Triumph Group, Regal Beloit, Thermo Fisher, and more.
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