Demand Forecasting for Inventory Control EBOOK Tooltip

Demand Forecasting for Inventory Control
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Uitgever: Springer
  • Engels
  • E-book
  • 9783319119762
  • december 2014
  • 188 pagina's
  • ePub met kopieerbeveiliging (DRM) van Adobe
Alle productspecificaties

Samenvatting

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.

Productspecificaties

Inhoud

Taal
Engels
Bindwijze
E-book
Verschijningsdatum
2015-10-15
Aantal pagina's
188 pagina's
Ebook formaat
ePub met kopieerbeveiliging (DRM) van Adobe
Illustraties
Nee

Betrokkenen

Auteur
Nick T. Thomopoulos
Uitgever
Springer

EAN

EAN
9783319119762

Overige kenmerken

Oorspronkelijke releasedatum
2014-12-04
Thema Subject Code
KJT

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Engels
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Management
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