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Principles of Sequencing and Scheduling PDF

511 Pages·2009·7.549 MB·English
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by Kenneth R. Baker, Dan Trietsch| 2009| 511 pages| 7.549| English

About Principles of Sequencing and Scheduling

An up-to-date and comprehensive treatment of the fundamentals of scheduling theory, including recent advances and state-of-the-art topicsPrinciples of Sequencing and Scheduling strikes a unique balance between theory and practice, providing an accessible introduction to the concepts, methods, and results of scheduling theory and its core topics. With real-world examples and up-to-date modeling techniques, the book equips readers with the basic knowledge needed for understanding scheduling theory and delving into its applications. The authors begin with an introduction and overview of sequencing and scheduling, including single-machine sequencing, optimization and heuristic solution methods, and models with earliness and tardiness penalties. The most current material on stochastic scheduling, including correct scheduling of safety time and the use of simulation for optimization, is then presented and integrated with deterministic models. Additional topical coverage includes:Extensions of the basic modelParallel-machine modelsFlow shop schedulingScheduling groups of jobsThe job shop problemSimulation models for the dynamic job shopNetwork methods for project schedulingResource-constrained project schedulingStochastic and safe schedulingExtensive end-of-chapter exercises are provided, some of which are spreadsheet-oriented, and link scheduling theory to the most popular analytic platform among today's students and practitioners—the Microsoft Office Excel® spreadsheet. Extensive references direct readers to additional literature, and the book's related Web site houses material that reinforces the book's concepts, including research notes, data sets, and examples from the text.Principles of Sequencing and Scheduling is an excellent book for courses on sequencing and scheduling at the upper-undergraduate and graduate levels. It is also a valuable reference for researchers and practitioners in the fields of statistics, computer science, operations research, and engineering.

Detailed Information

Author:Kenneth R. Baker, Dan Trietsch
Publication Year:2009
ISBN:9780470391655
Pages:511
Language:English
File Size:7.549
Format:PDF
Price:FREE
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