Managing Intermittent Demand (Paperback, 1st ed. 2016)

This work aims to increase the service level and to reduce the inventory costs by combining the forecast and inventory model into one consistent forecast-based inventory model. This new model is based on the prediction of the future probability distribution by assuming an integer-valued autoregressive process as demand process. The developed algorithms can be used to identify, estimate, and predict the demand as well as optimize the inventory decision of intermittent demand series. In an extensive simulation study the new model is compared with a wide range of conventional forecast/inventory model combinations. By using the consistent approach, the mean inventory level is lowered whereas the service level is increased. Additionally, a modern multi-criteria inventory classification scheme is presented to distinguish different demand series clusters.

General

Imprint:	Springer Gabler
Country of origin:	Germany
Release date:	May 2016
First published:	2016
Authors:	Torben Engelmeyer
Dimensions:	210 x 148 x 10mm (L x W x T)
Format:	Paperback
Pages:	157
Edition:	1st ed. 2016
ISBN-13:	978-3-658-14061-8
Categories:	Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Business & Economics > Business & management > Management of specific areas > Purchasing & supply management Promotions
LSN:	3-658-14061-5
Barcode:	9783658140618

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