Ebook: Optimal Control and Optimization of Stochastic Supply Chain Systems
Author: Dong-Ping Song (auth.)
- Genre: Mathematics // Automatic Control Theory
- Tags: Engineering Economics Organization Logistics Marketing, Calculus of Variations and Optimal Control, Optimization, Production/Logistics/Supply Chain Management, Control, Manufacturing Machines Tools
- Series: Advances in Industrial Control
- Year: 2013
- Publisher: Springer-Verlag London
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-xix
Stochastic Supply Chain Systems....Pages 1-9
Optimal Control of Basic Integrated Supply Chains....Pages 11-35
Optimal Control of Supply Chains in More General Situations....Pages 37-59
Optimal Control of Supply Chain Systems with Backordering Decisions....Pages 61-77
Optimal Control of Supply Chain Systems with Preventive Maintenance Decisions....Pages 79-94
Optimal Control of Supply Chain Systems with Assembly Operation....Pages 95-110
Optimal Control of Supply Chain Systems with Multiple Products....Pages 111-129
Threshold-Type Control Policies and System Stability for Serial Supply Chain Systems....Pages 131-148
Threshold-Type Control of Supply Chain Systems with Backordering Decisions....Pages 149-161
Threshold-Type Control of Supply Chain Systems with Preventive Maintenance Decisions....Pages 163-184
Threshold-Type Control of Supply Chain Systems with Assembly Operations....Pages 185-200
Threshold-Type Control of Supply Chain Systems with Multiple Products....Pages 201-223
Optimization of Threshold Control Parameters via Numerical Methods....Pages 225-239
Optimization of Threshold Control Parameters via Simulation-Based Methods....Pages 241-259
Conclusions....Pages 261-265
Back Matter....Pages 267-271
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.
Content:
Front Matter....Pages i-xix
Stochastic Supply Chain Systems....Pages 1-9
Optimal Control of Basic Integrated Supply Chains....Pages 11-35
Optimal Control of Supply Chains in More General Situations....Pages 37-59
Optimal Control of Supply Chain Systems with Backordering Decisions....Pages 61-77
Optimal Control of Supply Chain Systems with Preventive Maintenance Decisions....Pages 79-94
Optimal Control of Supply Chain Systems with Assembly Operation....Pages 95-110
Optimal Control of Supply Chain Systems with Multiple Products....Pages 111-129
Threshold-Type Control Policies and System Stability for Serial Supply Chain Systems....Pages 131-148
Threshold-Type Control of Supply Chain Systems with Backordering Decisions....Pages 149-161
Threshold-Type Control of Supply Chain Systems with Preventive Maintenance Decisions....Pages 163-184
Threshold-Type Control of Supply Chain Systems with Assembly Operations....Pages 185-200
Threshold-Type Control of Supply Chain Systems with Multiple Products....Pages 201-223
Optimization of Threshold Control Parameters via Numerical Methods....Pages 225-239
Optimization of Threshold Control Parameters via Simulation-Based Methods....Pages 241-259
Conclusions....Pages 261-265
Back Matter....Pages 267-271
....