Cupertino, CA -- (SBWIRE) -- 12/19/2014 -- The Forecast Errors newsletter reported in the past, companies focused on batch-oriented manufacturing; today, it is more demand-oriented manufacturing. The older model was easier to produce anywhere in the world, and through a distribution model, pump it directly into the market. That has changed to the extent where companies are not dealing with a limited set of SKUs. Now the use of SKUs is so huge and so wide in variety that it is impossible for a company to stock every part. Their overall lead time to customers is dramatically coming down, which means carrying more inventory, or start producing as demand comes in. To do that requires a synchronized supply chain. The food manufacturing industry has experienced this change quite significantly.
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Forecast Errors, a weekly e-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. In the current issue, Forecast Errors argued that what separates best-in-class companies from those that struggle with accuracy is how they root out (and learn from) forecasting errors.
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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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