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πŸ“

Hierarchical Decision Making in Stochastic Manufacturing Systems

✍ Scribed by Suresh P. Sethi FRSC, Qing Zhang (auth.)


Publisher
BirkhΓ€user Basel
Year
1994
Tongue
English
Leaves
419
Series
Systems & Control: Foundations & Applications
Edition
1
Category
Library

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✦ Synopsis


One of the most important methods in dealing with the optimization of large, complex systems is that of hierarchical decomposition. The idea is to reduce the overall complex problem into manageable approximate problems or subproblems, to solve these problems, and to construct a solution of the original problem from the solutions of these simpler probΒ­ lems. Development of such approaches for large complex systems has been identified as a particularly fruitful area by the Committee on the Next Decade in Operations Research (1988) [42] as well as by the Panel on Future Directions in Control Theory (1988) [65]. Most manufacturing firms are complex systems characterized by sevΒ­ eral decision subsystems, such as finance, personnel, marketing, and opΒ­ erations. They may have several plants and warehouses and a wide variety of machines and equipment devoted to producing a large number of different products. Moreover, they are subject to deterministic as well as stochastic discrete events, such as purchasing new equipment, hiring and layoff of personnel, and machine setups, failures, and repairs.

✦ Table of Contents


Front Matter....Pages i-xvi
Front Matter....Pages 1-1
Concepts of hierarchical decision making....Pages 3-15
Models of manufacturing systems....Pages 17-28
Front Matter....Pages 29-29
Optimal control of parallel machine systems....Pages 31-62
Optimal control of dynamic flowshops....Pages 63-81
Front Matter....Pages 83-83
Hierarchical controls in systems with parallel machines....Pages 85-130
Hierarchical controls in dynamic flowshops....Pages 131-155
Hierarchical controls in dynamic jobshops....Pages 157-186
Hierarchical production and setup scheduling in a single machine system....Pages 187-217
Hierarchical feedback controls in two-machine flowshops....Pages 219-247
Front Matter....Pages 249-249
A production and capacity expansion model....Pages 251-276
Production-marketing systems....Pages 277-302
Front Matter....Pages 303-303
Computations and evaluation of hierarchical controls....Pages 305-325
Further extensions and open research problems....Pages 327-334
Back Matter....Pages 335-422

✦ Subjects


Engineering, general


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