Introduction to Logistics Systems Planning and Control

This textbook grew out of a number of undergraduate and graduate courses on logistics and supply chain management that we have taught to engineering, computer science, andmanagement science goal of these courses is to give students a solid understanding of the analytical tools available to reduce costs and improve service levels in logistics systems. For several years, the lack of a suitable textbook forced us tomake use of a number ofmonographs and scientific paperswhich tended to be beyond the level ofmost therefore committed ourselves to developing a quantitative textbook, written at a more accessible level | WILEY Introduction to Logistics Systems Planning and Control GIANPAOLO GHIANI GILBERT LAPORTE ROBERTO MUSMANNO TLFeBOOK Introduction to Logistics Systems Planning and Control TLFeBOOK WILEY-INTERSCIENCE SERIES IN SYSTEMS AND OPTIMIZATION Advisory Editors Sheldon Ross Department of Industrial Engineering and Operations Research University of California Berkeley CA 94720 USA Richard Weber Statistical Laboratory Centre for Mathematical Sciences Cambridge University Wilberforce Road Cambridge CB3 0WB BATHER - Decision Theory An Introduction to Dynamic Programming and Sequential Decisions CHAO MIYAZAWA PINEDO - Queueing Networks Customers Signals and Product Form Solutions COURCOUBETIS WEBER - Pricing Communication Networks Economics Technology and Modelling DEB - Multi-Objective Optimization using Evolutionary Algorithms GERMAN - Performance Analysis of Communication Systems Modeling with Non-Markovian Stochastic Petri Nets GHIANI LAPORTE MUSMANNO - Introduction to Logistics Systems Planning and Control KALL WALLACE - Stochastic Programming KAMP HASLER - Recursive Neural Networks for Associative Memory KIBZUN KAN - Stochastic Programming Problems with Probability and Quantile Functions RUSTEM - Algorithms for Nonlinear Programming and Multiple-Objective Decisions WHITTLE - Optimal Control Basics and Beyond WHITTLE - Neural Nets and Chaotic Carriers The concept of a system as an entity in its own right has emerged with increasing force in the past few decades in for example the areas of electrical and control engineering economics ecology urban structures automation theory operational research and industry. The more definite concept of a large-scale system is implicit in these applications but is particularly evident in such fields as the study of communication networks computer networks and neural networks. The Wiley-Interscience Series in Systems and Optimization has been established to serve the needs of researchers in these rapidly developing fields. It is intended

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