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Series : International Series in Operations Research & Management Science

Markovian Demand Inventory Models

Markovian Demand Inventory Models
Author
Beyer, Dirk/ Cheng, Feng/ Sethi, Suresh P./ Taksar, Michael 
Publisher
Springer-Verlag 
Publication Date
Sep, 2009 
ISBN
0387716033 or 9780387716039
HARDCOVER 
-
出版済み 3週間でお届けいたします。
The delivery time takes 3 weeks

¥ 19,548 (tax included)

Description

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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