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Analysis and Algorithms for Service Parts Supply Chains de John A. Muckstadt

Analysis and Algorithms for Service Parts Supply Chains: Springer Series in Operations Research and Financial Engineering

Autor John A. Muckstadt
en Limba Engleză Hardback – 7 dec 2004
Services requiring parts has become a $1.5 trillion business annually worldwide, creating a tremendous incentive to manage the logistics of these parts efficiently by making planning and operational decisions in a rational and rigorous manner. This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications. The focus in this work is on the management of high cost, low demand rate service parts found in multi-echelon settings.
The text may be used in a variety of courses for first-year graduate students or senior undergraduates, as well as for practitioners, requiring only a background in stochastic processes and optimization. It will serve as an excellent reference for key mathematical concepts and a guide to modeling a variety of multi-echelon service parts planning and operational problems.
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Specificații

ISBN-13: 9780387227153
ISBN-10: 0387227156
Pagini: 277
Ilustrații: XVIII, 278 p. 57 illus.
Dimensiuni: 155 x 235 x 19 mm
Greutate: 0.53 kg
Ediția:2005
Editura: Springer
Colecția Springer
Seria Springer Series in Operations Research and Financial Engineering

Locul publicării:New York, NY, United States

Public țintă

Graduate

Cuprins

Background: Analysis of (s-1, s) and Order-Up-To Policies.- Background Concepts: An Introduction to the (s-1, s) Policy under Poisson and Compound Poisson Demand.- An Exact Model for a Depot-Base Two Echelon Inventory and Repair System.- Tactical Planning Models for Managing Recoverable Items.- A Continuous Time, Multi-Echelon, Multi-Item System with Time-Based Service Level Constraints.- Lateral Resupply and Pooling in Multi-Echelon Systems.- Capacity-limited Systems.- Extension of Palm’s Theorem to Nonstationary Demand Processes.- Real-time Execution Systems.

Recenzii

From the reviews:
"This book, covering ten chapters, presents the state of the art relating to service parts inventory systems and supply chain algorithms. … Each chapter contains a set of problems for the reader to explore the algorithmic tools presented in this book, which concludes with a very useful set of references and index." (Efstratios Rappos, Zentralblatt MATH, Vol. 1080, 2006)
"The contents of the book reflect some of the research interests and experiences of the author related to the mathematical study of ‘service parts systems’. … to make the reader aware of a larger set of materials on the topic, he provides an extensive bibliography on the subject. A good complement is an interesting list of exercises that seek to show first applications to oriented cases." (Antonio Gómez-Corral, Mathematical Reviews, Issue 2007 c)

Textul de pe ultima copertă

Services requiring parts has become a $1.5 trillion business annually worldwide, creating a tremendous incentive to manage the logistics of these parts efficiently by making planning and operational decisions in a rational and rigorous manner. This book provides a broad overview of modeling approaches and solution methodologies for addressing service parts inventory problems found in high-powered technology and aerospace applications. The focus in this work is on the management of high cost, low demand rate service parts found in multi-echelon settings.
This unique book, with its breadth of topics and mathematical treatment, begins by first demonstrating the optimality of an order-up-to policy [or (s-1,s)] in certain environments. This policy is used in the real world and studied throughout the text. The fundamental mathematical building blocks for modeling and solving applications of stochastic process and optimization techniques to service parts management problems are summarized extensively. A wide range of exact and approximate mathematical models of multi-echelon systems is developed and used in practice to estimate future inventory investment and part repair requirements.
The text may be used in a variety of courses for first-year graduate students or senior undergraduates, as well as for practitioners, requiring only a background in stochastic processes and optimization. It will serve as an excellent reference for key mathematical concepts and a guide to modeling a variety of multi-echelon service parts planning and operational problems.

Caracteristici

Provides a broad overview of modeling approaches and solution methodologies for addressing inventory problems, particularly the management of high cost, low demand rate service parts found in multi-echelon settings The text may be used in a variety of courses for first-year graduate students or senior undergraduates, or as a reference for researchers and practitioners A background in stochastic processes and optimization is assumed