Optimal Control and Optimization of Stochastic Supply Chain Systems, 9781447158547
Paperback
Optimal Control and Optimization of Stochastic Supply Chain Systems examines its subject the context of the presence of a variety of uncertainties.

Optimal Control and Optimization of Stochastic Supply Chain Systems

$368.28

  • Paperback

    272 pages

  • Release Date

    14 December 2014

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Summary

Optimal Control and Optimization of Stochastic Supply Chain Systems examines its subject the context of the presence of a variety of uncertainties. Numerous examples with intuitive illustrations and tables are provided, to demonstrate the structural characteristics of the optimal control policies in various stochastic supply chains and to show how to make use of these characteristics to construct easy-to-operate sub-optimal policies. In Part I, a general introduction to stochastic supply chai…

Book Details

ISBN-13:9781447158547
ISBN-10:1447158547
Series:Advances in Industrial Control
Author:Dong-Ping Song
Publisher:Springer London Ltd
Imprint:Springer London Ltd
Format:Paperback
Number of Pages:272
Edition:2013th
Release Date:14 December 2014
Weight:4.45kg
Dimensions:235mm x 155mm
What They're Saying

Critics Review

From the reviews:

From the reviews:

 “This book ‘provides techniques and tools to facilitate industrial implementation of threshold-type control policies’ with applications to stochastic supply chains. … The book with flow-chart for chapter relationships, and notes and references at the end of chapter, appeals to scientists, engineers, and graduate students in the fields of industrial, manufacturing, and control engineering. It is a welcome addition to the field of stochastic aspects in manufacturing.” (D. Subbaram Naidu, Amazon.com, December, 2013)

About The Author

Dong-Ping Song

Dr. Dong-Ping Song is a Professor in International Logistics in the School of Management at the University of Plymouth . His research interests include container shipping and logistics; supply chain management; production planning and inventory control; modelling, simulation and optimization for stochastic systems; metaheuristics.

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