TY  - BOOK
AU  - Beyer,Dirk
AU  - Cheng,Feng
AU  - Sethi,Suresh P.
AU  - Taksar,Michael
ED  - SpringerLink (Online service)
TI  - Markovian Demand Inventory Models
T2  - International Series in Operations Research & Management Science,
SN  - 9780387716046
AV  - HD28-70 
U1  - 658.5 23
PY  - 2010///
CY  - Boston, MA
PB  - Springer US
KW  - Economics
KW  - Distribution (Probability theory)
KW  - Industrial engineering
KW  - Engineering economy
KW  - Business logistics
KW  - Economics/Management Science
KW  - Production/Logistics
KW  - Probability Theory and Stochastic Processes
KW  - Engineering Economics, Organization, Logistics, Marketing
KW  - Mathematical Modeling and Industrial Mathematics
KW  - Industrial and Production Engineering
KW  - Operations Research/Decision Theory
N1  - I INTRODUCTION -- II DISCOUNTED COST MODELS -- Discounted Cost Models with Backorders -- Discount Cost Models with Polynomially Growing Surplus Cost -- Discounted Cost Models with Lost Sales -- III AVERAGE COST MODELS -- Average Cost Models with Backorders -- Average Cost Models with Polynomially Growing Surplus Cost -- Average Cost Models with Lost Sales -- IV MISCELLANEOUS -- Models with Demand Influenced by Promotion -- Vanishing Discount Approach Versus Stationary Distribution Approach -- V CONCLUSIONS AND OPEN RESEARCH PROBLEMS -- Conclusions and Open Research Problems
N2  - "This book contains the most complete, rigorous mathematical treatment of the classical dynamic inventory model with stochastics demands that I am aware of. Emphasis is placed on a demand structure governed by a discrete time Markov chain. The state of the Markov chain determines the demand distribution for the period in question. Under this more general demand structure, (s,S) ordering policies are still shown to be optimal. The mathematical level is advanced and the book would be most appropriate for a specialized course at the Ph.D. level." Donald L. Iglehart Professor Emeritus of Operations Research, Stanford University "This book provides a comprehensive mathematical presentation of (s,S) inventory models and affords readers thorough coverage of the analytic tools used to establish theoretical results. Markovian demand models are central in the extensive scientific literature on inventory theory, and this volume reviews all the important conceptual developments of the subject." Harvey M. Wagner University of North Carolina at Chapel Hill "Beyer, Cheng, Sethi and Taksar have done a fine job of bringing together many of the central results about this important class of models. The book will be useful to anyone interested in inventory theory." Paul Zipkin Duke University
UR  - http://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-0-387-71604-6
ER  -