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＜電子ブック＞
Analysis and Algorithms for Service Parts Supply Chains / by John A. Muckstadt
(Springer Series in Operations Research and Financial Engineering. ISSN:21971773)

版	1st ed. 2005.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2005
本文言語	英語
大きさ	XVIII, 278 p. 57 illus : online resource
著者標目	*Muckstadt, John A author SpringerLink (Online service)
件　名	LCSH:Operations research LCSH:Probabilities LCSH:Mathematics LCSH:Mathematical models LCSH:Mathematical optimization LCSH:Calculus of variations LCSH:Industrial Management FREE:Operations Research and Decision Theory FREE:Probability Theory FREE:Applications of Mathematics FREE:Mathematical Modeling and Industrial Mathematics FREE:Calculus of Variations and Optimization FREE:Industrial Management
一般注記	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 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 HTTP:URL=https://doi.org/10.1007/b138879

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