Overview

In a competitive world, research in manufacturing systems plays an important role in creating, updating and improving the technologies and management practices of the economy. This volume presents some of the most recent results in stochastic manufacturing systems. Experts from the fields of applied mathematics, engineering and management sciences review and substantially update the recent advances in the control and optimization of manufacturing systems. Recent Advances in Control and Optimization of Manufacturing Systems consists of eight chapters divided into three parts which focus on Optimal Production Planning, Scheduling and Improvability and Approximate Optimality and Robustness. This book is intended for researchers and practitioners in the fields of systems theory, control and optimization, and operation management as well as in applied probability and stochastic processes.

Full Product Details

Author:   George Yin ,  Qing Zhang
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1996 ed.
Volume:   214
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.380kg
ISBN:  

9783540760559

ISBN 10:   3540760555
Pages:   225
Publication Date:   24 May 1996
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Out of stock  
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Table of Contents

Matrix methods in production planning of failure prone manufacturing systems.- Optimal control of a failure prone manufacturing system with the possibility of temporary increase in production capacity.- Optimal control of manufacturing systems with buffer holding costs.- Using second moment information in stochastic scheduling.- Improvability of serial production lines: Theory and applications.- Asymptotic optimal feedback controls in stochastic dynamic two-machine flowshops.- Studying flexible manufacturing systems via deterministic control problems.- On robust design for a class of failure prone manufacturing systems.

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