Markovian demand inventory models / Dirk Beyer [and others].

"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, severa...

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Bibliographic Details
Main Author: Beyer, Dirk (Author)
Format: Ebook
Language:English
Published: New York : Springer, [2010]
Series:International series in operations research & management science ; 108.
Subjects:
Online Access:Springer eBooks
Description
Summary:"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."--Publisher's website.
Physical Description:1 online resource (xx, 253 pages) : illustrations.
Format:Mode of access: World Wide Web.
Bibliography:Includes bibliographical references and index.
ISBN:0387716041
1282509012
9780387716046
9781282509016
ISSN:0884-8289 ;
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