Overview

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 chain systems is provided. Analytical models for various stochastic supply chain systems are formulated and analysed in Part II. In Part III the structural knowledge of the optimal control policies obtained in Part II is utilized to construct easy-to-operate sub-optimal control policies for various stochastic supply chain systems accordingly. Finally, Part IV discusses the optimisation of threshold-type control policies and their robustness. A key feature of the book is its tying together of the complex analytical models produced by the requirements of operational practice, and the simple solutions needed for implementation. The analytical models and theoretical analysis propounded in this monograph will be of benefit to academic researchers and graduate students looking at logistics and supply chain management from standpoints in operations research or industrial, manufacturing, or control engineering. The practical tools and solutions and the qualitative insights into the ideas underlying functional supply chain systems will be of similar use to readers from more industrially-based backgrounds.

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9781447158547

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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)

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)

Author Information

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.

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