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.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: January 2014
- format: Paperback
- isbn: 9781107637900
- length: 208 pages
- dimensions: 254 x 178 x 11 mm
- weight: 0.37kg
- contains: 30 b/w illus. 43 tables
- availability: Available
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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