Available:*
Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
---|---|---|---|---|---|
Searching... | 30000010267163 | TS157.5 S275 2010 | Open Access Book | Book | Searching... |
On Order
Summary
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.
Table of Contents
1 Introduction |
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 |