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Titlebook: Elements of Manufacturing, Distribution and Logistics; Quantitative Methods Nick T. Thomopoulos Book 2016 The Editor(s) (if applicable) and

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书目名称Elements of Manufacturing, Distribution and Logistics
副标题Quantitative Methods
编辑Nick T. Thomopoulos
视频video
概述Covers the three essential areas for operations managers: manufacturing, distribution, and logistics.Comprehensive practical reference for the professional.Author is among the most prominent names in
图书封面Titlebook: Elements of Manufacturing, Distribution and Logistics; Quantitative Methods Nick T. Thomopoulos Book 2016 The Editor(s) (if applicable) and
描述.This book describes a variety of quantitative methods that are vital to planning and control in the operations of the industrial world, from suppliers to manufacturing plants to distribution centers and to the dealers and stores. The topics include: forecasting, measuring forecast error, determining the order quantity, safety stock, when and how much inventory to replenish, all this for individual items and for a distribution network where the items are housed in multiple locations. Further quantitative methods are: manufacturing control, just-in-time, assembly, statistical process control, distribution network, supply chain management, transportation and reverse logistics. The methods are proven, practical and doable for mostapplications...The material in.Elements of Manufacturing, Distributionand Logistics. presents topics that people wantand should know in the work place. Thepresentation is easyto read for students and practitioners. There is little need to delve intodifficult mathematical relationships, and numericalexamples are presented throughout to guide the reader on applications. Practitionerswill be able to apply the methods learned to the systems in their locations,and
出版日期Book 2016
关键词Forecasting; Forecast Error; Distribution; Inventory Replenishment; Distribution Network; Order Quantity;
版次1
doihttps://doi.org/10.1007/978-3-319-26862-0
isbn_softcover978-3-319-80028-8
isbn_ebook978-3-319-26862-0
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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,Über das Wahre und das Richtige,future months up to the planning horizon, typically 12 months. Data from the past demands is needed to generate the forecasts. Assuming monthly time buckets, the demand for a fixed number of history months, (usually 12, 24 or 36), is saved in the database. The monthly demands represent the number of
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Quality and process indicators,tomers. An exact measure of the standard deviation is not easy to generate, however, estimates are used in its place. The way to estimate the standard deviation varies depending on the forecasting method in use (moving average, regression, discounting, smoothing). This chapter describes how to estim
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Management der Bürokommunikation with two or more locations. Could be a system with distribution centers (DC), or two or more retail outlets. The individual stocking locations are here referred as locations. The goal is to control the inventory for the NW and for each location. Typically, once a month at the NW, forecasts, standar
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