Markovian Demand Inventory Models: International Series in Operations Research & Management Science, cartea 108
Autor Dirk Beyer, Feng Cheng, Suresh P. Sethi, Michael Taksaren Limba Engleză Paperback – 25 feb 2012
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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Specificații
ISBN-13: 9781461424666
ISBN-10: 1461424666
Pagini: 276
Ilustrații: XX, 255 p. 15 illus.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:2010
Editura: Springer Us
Colecția Springer
Seria International Series in Operations Research & Management Science
Locul publicării:New York, NY, United States
ISBN-10: 1461424666
Pagini: 276
Ilustrații: XX, 255 p. 15 illus.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.39 kg
Ediția:2010
Editura: Springer Us
Colecția Springer
Seria International Series in Operations Research & Management Science
Locul publicării:New York, NY, United States
Public țintă
Professional/practitionerCuprins
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.
Recenzii
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 2012 g)
“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 2012 g)
Textul de pe ultima copertă
"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
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
Caracteristici
Only book coverage of this important area of research Suresh Sethi is the most renowned researcher in the field Appropriate for researchers, practitioners, and Ph.D. students Includes supplementary material: sn.pub/extras