Markovian Demand Inventory Models

Author:   Dirk Beyer
Publisher:   Springer Us
ISBN:  

9781282509016


Pages:   260
Publication Date:   01 January 2010
Format:   Undefined
Availability:   Available To Order   Availability explained
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Markovian Demand Inventory Models


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Overview

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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Author:   Dirk Beyer
Publisher:   Springer Us
Imprint:   Springer Us
ISBN:  

9781282509016


ISBN 10:   1282509012
Pages:   260
Publication Date:   01 January 2010
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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