Optimal Control and Optimization of Stochastic Supply Chain Systems
By: by Dong-Ping Song
Contributors: SpringerLink (Online service)
Series: Advances in Industrial Control
Publisher: Springer London; Imprint: Springer
Published: 2013
Place of publication: London
Language: eng
Format: [electronic resource] /
Number of pages: 271
ISBN-13: 9781447147244
Subjects: Control; Engineering Economics, Organization, Logistics, Marketing; Calculus of Variations and Optimal Control; Optimization; Engineering economy; Engineering; Machinery; Manufacturing, Machines, Tools; Mathematical optimization; Production/Logistics/Supply Chain Management
Description: <body><p class="BodyFirst"><font size="2"><i><span lang="EN-GB">Optimal Control and Optimization of Stochastic Supply Chain Systems</span></i><span lang="EN-GB"> examines its subject in 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.</span></font></p><p class="BodyFirst"><span lang="EN-GB"><font size="2"><span>                </span>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.</font></span></p><p class="BodyFirst"><span lang="EN-GB"><font size="2"><span>                </span>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. <span> </span></font></span></p><p class="MsoBodyText"><span <p><b>Advances in Industrial Control </b>aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.</p></p><p><b>Advances in Industrial Control </b>aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline.^

The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.</p><p><p><b>Advances in Industrial Control </b>aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.</p><p><p></p>