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Optimal Control and Optimization of Stochastic Supply Chain Systems (Advances in Industrial Control) by Dong-Ping Song (auth.) is a nonfiction available to read on EtoBox.
What is Optimal Control and Optimization of Stochastic Supply Chain Systems (Advances in Industrial Control) about?
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 a
Who reads Optimal Control and Optimization of Stochastic Supply Chain Systems (Advances in Industrial Control)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Dong-Ping Song (auth.)
- Publisher
- Springer-Verlag London
- Published
- 2013
- Language
- EN
- ISBN
- 9781447147251
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Management
Other editions & translations
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