Authors:
- Provides techniques and tools to facilitate industrial implementation of threshold-type control policies
- Addresses the optimisation of sub-optimal control policies
- Considers the optimal control problems of supply chain systems for the benefit of the professional reader
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (15 chapters)
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Front Matter
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Back Matter
About this book
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)
Authors and Affiliations
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, School of Management, University of Plymouth, Plymouth, United Kingdom
Dong-Ping Song
About the author
Dr. Dong-Ping Song is a Professor in International Logistics in the School of Management at the University of Plymouth (http://www.plymouth.ac.uk/staff/dsong). His research interests include container shipping and logistics; supply chain management; production planning and inventory control; modelling, simulation and optimization for stochastic systems; metaheuristics.
Bibliographic Information
Book Title: Optimal Control and Optimization of Stochastic Supply Chain Systems
Authors: Dong-Ping Song
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-1-4471-4724-4
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2013
Hardcover ISBN: 978-1-4471-4723-7Published: 29 November 2012
Softcover ISBN: 978-1-4471-5854-7Published: 14 December 2014
eBook ISBN: 978-1-4471-4724-4Published: 29 November 2012
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XX, 272
Topics: Engineering Economics, Organization, Logistics, Marketing, Calculus of Variations and Optimal Control; Optimization, Operations Management, Control and Systems Theory, Manufacturing, Machines, Tools, Processes