Markovian Demand Inventory Models

Dirk Beyer author Feng Cheng author Suresh P Sethi author Michael Taksar author

Format:Hardback

Publisher:Springer-Verlag New York Inc.

Published:16th Oct '09

Should be back in stock very soon

Markovian Demand Inventory Models cover

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.

From the reviews:

“In this book, the authors present a complete, rigorous mathematical treatment of the classical dynamic inventory models with stochastic demands. … This book is an elegant and comprehensive account of Markovian demand inventory models. It will be useful for students, researchers and practitioners in operations management and industrial engineering.” (P. R. Parthasarathy, Mathematical Reviews, Issue 201

ISBN: 9780387716039

Dimensions: unknown

Weight: unknown

255 pages

2010 ed.