Analysis and Algorithms for Service Parts Supply Chains / by John A. Muckstadt
(Springer Series in Operations Research and Financial Engineering)
データ種別 | 電子ブック |
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出版情報 | New York, NY : Springer New York , 2005 |
本文言語 | 英語 |
大きさ | XVIII, 278 p. 57 illus : online resource |
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内容注記 | 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 |
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一般注記 | 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 |
著者標目 | *Muckstadt, John A. author SpringerLink (Online service) |
件 名 | LCSH:Business LCSH:Operations research LCSH:Decision making LCSH:Applied mathematics LCSH:Engineering mathematics LCSH:Mathematical models LCSH:Calculus of variations LCSH:Probabilities LCSH:Engineering economics LCSH:Engineering economy FREE:Business and Management FREE:Operation Research/Decision Theory FREE:Probability Theory and Stochastic Processes FREE:Applications of Mathematics FREE:Mathematical Modeling and Industrial Mathematics FREE:Calculus of Variations and Optimal Control; Optimization FREE:Engineering Economics, Organization, Logistics, Marketing |
分 類 | DC23:658.40301 |
巻冊次 | ISBN:9780387272887 |
ISBN | 9780387272887 |
URL | http://dx.doi.org/10.1007/b138879 |
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