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Markovian demand inventory models [Elektronski vir]"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 UniversityVrsta gradiva - e-knjigaZaložništvo in izdelava - New York : Springer, cop. 2010Jezik - angleškiISBN - 978-0-387-71604-6; 0-387-71604-1COBISS.SI-ID - 1542233567
Povezava(-e):
SpringerLink e-books 2008-2012Celotno besedilo dostopno za uporabnike SpringerLink slovenskega konzorcija neprofitnih institucij
Full text accessible to the users of SpringerLink Slovenian Consortium of Non-Profit Institutions
DOI
Drugi avtorji
Beyer, Dirk
Zbirka
International series in operations research & management science
Teme
Inventory control |
Mathematical models |
Inventories |
Markov processes |
Engineering Economics, Organization, Logistics, Marketing |
Economics/Management Science |
Probability Theory and Stochastic Processes |
Mathematical Modeling and Industrial Mathematics |
Industrial and Production Engineering |
Operations Research/Decision Theory |
Production/Logistics |
BUSINESS & ECONOMICS |
Management Science |
BUSINESS & ECONOMICS |
Organizational Behavior |
BUSINESS & ECONOMICS |
Industrial Management |
BUSINESS & ECONOMICS |
Management |
Inventories |
Inventory control |
Mathematical models |
Markov processes |
Affaires |
Science économique |
Economie de l'entreprise |
Electronic books
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