Optimal Control and Optimization of Stochastic Supply Chain Systems [electronic resource] /
Song, Dong-Ping.author.
Optimal Control and Optimization of Stochastic Supply Chain Systems 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.                 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.     Advances in Industrial Control 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. Advances in Industrial Control 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. Advances in Industrial Control 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.
Description based upon print version of record.
Optimal Control and Optimization of Stochastic Supply Chain Systems; Series Editors' Foreword; Preface; Subject of the Book; How the Book Is Structured; Reference; Acknowledgements; Contents; Chapter 1: Stochastic Supply Chain Systems; 1.1 Introduction; 1.2 Uncertainties in Supply Chain Systems; 1.3 Channel Relationships in Supply Chain Systems; 1.4 Optimal Control and Optimization in Stochastic Supply Chains; 1.5 Structure of the Book; References; Chapter 2: Optimal Control of Basic Integrated Supply Chains; 2.1 Introduction; 2.2 Problem Formulation; 2.3 Optimal Control Policy
2.4 Structural Properties of the Value Function2.5 Characterization of Optimal Policy; 2.6 Discussions; 2.6.1 Interpretation and Extension; 2.6.2 Information Sharing; 2.6.3 Channel Coordination; 2.6.3.1 Vendor-Managed Inventory (VMI); 2.6.3.2 Collaborative Planning, Forecasting, and Replenishment (CPFR); 2.6.4 Cost and Benefit Sharing; 2.7 Notes; References; Chapter 3: Optimal Control of Supply Chains in More General Situations; 3.1 Introduction; 3.2 One Outstanding Order with Its Size Not Changeable Once Issued; 3.3 Two Outstanding Orders with Their Sizes Not Changeable Once Issued
3.4 One Outstanding Order with Its Size Not Changeable and Its Lead Time Following an Erlang Distribution3.5 Numerical Examples; 3.6 Multistage Serial Supply Chain Systems; 3.7 Discussions and Notes; 3.7.1 Deterministic Lead Times and Random Demands; 3.7.2 Stochastic Lead Times and Outstanding Orders; 3.7.3 Multiple Replenishment Channels and Order Information; 3.7.4 Ordering Capacity and Storage Capacity; References; Chapter 4: Optimal Control of Supply Chain Systems with Backordering Decisions; 4.1 Introduction; 4.2 Optimal Control in a Supply Chain with Backordering Decisions
4.3 Optimal Control in a Failure-Prone Manufacturing Supply Chain with Backordering Decisions4.3.1 Problem Formulation; 4.3.2 Optimal Control Policy; 4.3.3 Characterization of the Optimal Policy; 4.4 Discussions and Notes; 4.4.1 Backordering Decisions; 4.4.2 Failure-Prone Manufacturing Supply Chains; References; Chapter 5: Optimal Control of Supply Chain Systems with Preventive Maintenance Decisions; 5.1 Introduction; 5.2 Optimal Control of Ordering, Production, and Preventive Maintenance in a Supply Chain; 5.2.1 Optimal Control Under Operation-Dependent Failures
5.2.2 Optimal Control Under Time-Dependent Failures5.3 Optimal Control of Production and Preventive Maintenance in a Failure-Prone Manufacturing Supply Chain; 5.4 Discussion and Notes; References; Chapter 6: Optimal Control of Supply Chain Systems with Assembly Operation; 6.1 Introduction; 6.2 Problem Formulation; 6.3 Optimal Control Policy; 6.4 Optimal Control Policy with Maximum Order Size One; 6.4.1 Structural Properties of Optimal Value Function; 6.4.2 Characterization of the Optimal Policy; 6.5 The Failure-Prone Assembly Supply Chain; 6.6 Discussion and Notes; References
Chapter 7: Optimal Control of Supply Chain Systems with Multiple Produ
Includes bibliographical references and index.
Optimal Control and Optimization of Stochastic Supply Chain Systems 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.                 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.     Advances in Industrial Control 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. Advances in Industrial Control 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. Advances in Industrial Control 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.
Engineering economics.
Engineering economy.
Calculus of variations.
Production management.
Control engineering.
Manufactures.
Engineering Economics, Organization, Logistics, Marketing.
Calculus of Variations and Optimal Control; Optimization.
Operations Management.
Control and Systems Theory.
Manufacturing, Machines, Tools, Processes.
Advances in Industrial Control