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Demand forecasting for inventory control

Thomopoulos, Nick T.

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Demand forecasting for inventory control

Record Type:	Electronic resources : Monograph/item
Title/Author:	Demand forecasting for inventory control/ by Nick T. Thomopoulos.
Author:	Thomopoulos, Nick T.
Published:	Cham :Springer International Publishing : : 2015.,
Description:	xiii, 183 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- 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.
Contained By:	Springer eBooks
Subject:	Business forecasting. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-11976-2
ISBN:	9783319119762 (electronic bk.)

Demand forecasting for inventory control
Thomopoulos, Nick T.

Demand forecasting for inventory control[electronic resource] /by Nick T. Thomopoulos. - Cham :Springer International Publishing :2015. - xiii, 183 p. :ill., digital ;24 cm.

Introduction -- 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.

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.

ISBN: 9783319119762 (electronic bk.)

Standard No.: 10.1007/978-3-319-11976-2doiSubjects--Topical Terms:

648526
Business forecasting.

LC Class. No.: HD30.27

Dewey Class. No.: 658.40355

Demand forecasting for inventory control
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100 1 $a Thomopoulos, Nick T. $3 2054952
245 1 0 $a Demand forecasting for inventory control $h [electronic resource] / $c by Nick T. Thomopoulos.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xiii, 183 p. : $b ill., digital ; $c 24 cm.
505 0 $a Introduction -- 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.
520 $a 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.
650 0 $a Business forecasting. $3 648526
650 0 $a Supply and demand. $3 578551
650 0 $a Inventory control. $3 646359
650 1 4 $a Economics/Management Science. $3 890844
650 2 4 $a Operation Research/Decision Theory. $3 1620900
650 2 4 $a Production/Logistics/Supply Chain Management. $3 1530229
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-11976-2
950 $a Business and Economics (Springer-11643)