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Stochastic scheduling / Subhash C. Sarin, Balaji Nagarajan and Lingrui Liao.

By: Contributor(s): Material type: TextTextPublication details: Cambridge ; Cambridge University Press, 2010.Description: xii, 191 p. : ill. ; 27 cmISBN:
  • 9780521518512
Subject(s): DDC classification:
  • 658.53 23 Sa245
Contents:
1. Introduction -- 2. Robust scheduling approaches to hedge against processing time uncertainty -- 3. Expectation-variance analysis in stochastic multiobjective scheduling -- 4. Single-machine models -- 5. Flow shop models -- 6. Job-shop models -- 7. Parallel-machine models -- 8. The case of general processing time distribution -- 9. Concluding remarks -- Appendices.
Summary: Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a stochastic environment, in which the processing time of a job is not known with certainty, a schedule is typically analyzed based on the expected value of a performance measure. This book addresses this problem and presents algorithms to determine the variability of a schedule under various machine configurations and objective functions. It is intended for graduate and advanced undergraduate students in manufacturing, operations management, applied mathematics, and computer science, and it is also a good reference book for practitioners. Computer software containing the algorithms is provided on an accompanying website for ease of student and user implementation.
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 658.53 Sa245 (Browse shelf(Opens below)) Available 137028
Total holds: 0

Includes bibliographical references and index.

1. Introduction --
2. Robust scheduling approaches to hedge against processing time uncertainty --
3. Expectation-variance analysis in stochastic multiobjective scheduling --
4. Single-machine models --
5. Flow shop models --
6. Job-shop models --
7. Parallel-machine models --
8. The case of general processing time distribution --
9. Concluding remarks --
Appendices.

Stochastic scheduling is in the area of production scheduling. There is a dearth of work that analyzes the variability of schedules. In a stochastic environment, in which the processing time of a job is not known with certainty, a schedule is typically analyzed based on the expected value of a performance measure. This book addresses this problem and presents algorithms to determine the variability of a schedule under various machine configurations and objective functions. It is intended for graduate and advanced undergraduate students in manufacturing, operations management, applied mathematics, and computer science, and it is also a good reference book for practitioners. Computer software containing the algorithms is provided on an accompanying website for ease of student and user implementation.

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