LEADER 03868nam 22006135 450 001 9910298517503321 005 20200920032637.0 010 $a3-319-11976-1 024 7 $a10.1007/978-3-319-11976-2 035 $a(CKB)3710000000311735 035 $a(EBL)1965345 035 $a(OCoLC)897810282 035 $a(SSID)ssj0001407886 035 $a(PQKBManifestationID)11813488 035 $a(PQKBTitleCode)TC0001407886 035 $a(PQKBWorkID)11411619 035 $a(PQKB)10424562 035 $a(DE-He213)978-3-319-11976-2 035 $a(MiAaPQ)EBC1965345 035 $a(PPN)183149165 035 $a(EXLCZ)993710000000311735 100 $a20141204d2015 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDemand Forecasting for Inventory Control /$fby Nick T. Thomopoulos 205 $a1st ed. 2015. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2015. 215 $a1 online resource (188 p.) 300 $aDescription based upon print version of record. 311 $a3-319-11975-3 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Demand History -- Horizontal Forecasts -- Trend Forecasts -- Seasonal Forecasts -- Promotion Forecasts -- Multi SKU Forecasts -- Forecast Sensitivity -- Filtering Outliers -- Standard Normal and Truncated Normal Distributions -- Safety Stock -- Auxiliary Forecasts. 330 $aThis book describes the methods used to forecast the demands at inventory holding locations. The methods are proven, practical and doable for most applications, and pertain to demand patterns that are horizontal, trending, seasonal, promotion and multi-sku. The forecasting methods include regression, moving averages, discounting, smoothing, two-stage forecasts, dampening forecasts, advance demand forecasts, initial forecasts, all time forecasts, top-down, bottom-up, raw and integer forecasts, Also described are demand history, demand profile, forecast error, coefficient of variation, forecast sensitivity and filtering outliers. The book shows how the forecasts with the standard normal, partial normal and truncated normal distributions are used to generate the safety stock for the availability and the percent fill customer service methods. The material presents topics that people want and should know in the work place. The presentation is easy to read for students and practitioners; there is little need to delve into difficult mathematical relationships, and numerical examples are presented throughout to guide the reader on applications. Practitioners will be able to apply the methods learned to the systems in their locations, and the typical worker will want the book on their bookshelf for reference.  The potential market is vast.  It includes everyone in professional organizations like APICS, DSI and INFORMS; MBA graduates, people in industry, and students in management science, business and industrial engineering. 606 $aOperations research 606 $aDecision making 606 $aProduction management 606 $aOperations Research/Decision Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/521000 606 $aOperations Management$3https://scigraph.springernature.com/ontologies/product-market-codes/519000 615 0$aOperations research. 615 0$aDecision making. 615 0$aProduction management. 615 14$aOperations Research/Decision Theory. 615 24$aOperations Management. 676 $a330 676 $a658.40301 676 $a658.5 700 $aThomopoulos$b Nick T$4aut$4http://id.loc.gov/vocabulary/relators/aut$0767476 906 $aBOOK 912 $a9910298517503321 996 $aDemand Forecasting for Inventory Control$92519761 997 $aUNINA