Markovian Demand Inventory Models

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128,39 

International Series in Operations Research & Management Science 108

ISBN: 0387716033
ISBN 13: 9780387716039
Verlag: Springer Verlag GmbH
Umfang: xx, 255 S., 15 s/w Illustr., 255 p. 15 illus.
Erscheinungsdatum: 16.10.2009
Weitere Autoren: Beyer, Dirk/Cheng, Feng/Sethi, Suresh P et al
Auflage: 1/2010
Produktform: Gebunden/Hardback
Einband: Gebunden
Artikelnummer: 1635366 Kategorie:

Beschreibung

Inventory management is concerned with matching supply with demand and a central problem in Operations Management. The problem is to find the amount to be produced or purchased in order to maximize the total expected profit or minimize the total expected cost. Over the past two decades, several variations of the formula appeared, mostly in trade journals written by and for inventory managers. A critical assumption in the inventory literature is that the demands in different periods are independent and identically distributed. However, in real life, demands may depend on environmental considerations or the events in the world such as the weather, the state of economy, etc. Moreover, these events are represented by stochastic processes - exogenous or controlled. In Markovian Demand Inventory Models, the authors are concerned with inventory models where these world events are modeled by Markov processes. Their research on Markovian demand inventory models was carried out over a period of ten years beginning in the early nineties.

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