Expectation-Variance Analysis of a Schedule
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- Subhash C. Sarin, Virginia Polytechnic Institute and State University
- Balaji Nagarajan
- Lingrui Liao
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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 Web site for ease of student and user implementation.Read more
- Computer software containing the algorithms is provided on an accompanying website for ease of student and user implementation
- Analyzes variability of a schedule, in a stochastic environment, where the processing time of a job is not known with certainty
- This text presents algorithms to determine variability of a schedule under various machine configurations and objective functions
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- Date Published: June 2010
- format: Adobe eBook Reader
- isbn: 9780511764073
- contains: 30 b/w illus. 43 tables
- availability: This item is not supplied by Cambridge University Press in your region. Please contact eBooks.com for availability.
Table of Contents
2. Robust scheduling approaches to hedge against processing time uncertainty
3. Expectation-variance analysis in stochastic multi-objective scheduling
4. Single machine models
5. Flow shop models
6. Job shop models
7. The case of general processing time distribution
8. Concluding remarks.
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