TY - BOOK ID - 4863377 TI - Demand Forecasting for Inventory Control PY - 2015 SN - 9783319119762 3319119753 9783319119755 3319119761 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Economics/Management Science. KW - Operation Research/Decision Theory. KW - Production/Logistics/Supply Chain Management. KW - Economics. KW - Operations research. KW - Economie politique KW - Recherche opérationnelle KW - Management KW - Business & Economics KW - Management Theory KW - Inventory control. KW - Control, Inventory KW - Inventory management KW - Stock control KW - Business. KW - Production management. KW - Decision making. KW - Business and Management. KW - Operations Management. KW - Business logistics KW - Physical distribution of goods KW - Production control KW - Inventories KW - Operations Research/Decision Theory. KW - Manufacturing management KW - Industrial management KW - Operational analysis KW - Operational research KW - Industrial engineering KW - Management science KW - Research KW - System theory KW - Deciding KW - Decision (Psychology) KW - Decision analysis KW - Decision processes KW - Making decisions KW - Management decisions KW - Choice (Psychology) KW - Problem solving KW - Decision making UR - https://www.unicat.be/uniCat?func=search&query=sysid:4863377 AB - This 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. ER -