Stochastic Scheduling
Expectation-Variance Analysis of a Schedule
1st Edition
Published on 16. June 2010
978-0-511-76407-3 (ISBN)
Description
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.
More details
Language
English
Place of publication
Cambridge
United Kingdom
Publishing group
Cambridge University Press
Target group
Professional and scholarly
Illustrations
43 Tables, unspecified; 30 Line drawings, unspecified
File size
2,36 MB
ISBN-13
978-0-511-76407-3 (9780511764073)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Subhash C. Sarin | Balaji Nagarajan | Lingrui Liao
Stochastic Scheduling
Expectation-Variance Analysis of a Schedule
Book
01/2014
Cambridge University Press
€92.30
Shipment within 15-20 days
Subhash C. Sarin | Balaji Nagarajan | Lingrui Liao
Stochastic Scheduling
Expectation-Variance Analysis of a Schedule
Book
03/2010
Cambridge University Press
€69.00
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Persons
Dr Subhash Sarin earned his PhD at North Carolina State University in 1978. He has made research contributions in production scheduling, sequencing, applied mathematical programming, and analyzing and designing algorithms for the operational control of manufacturing systems. He is a member of the editorial board of the International Journal of Production Planning and Control. Currently, Dr Sarin is the Paul T. Norton Endowed Professor at Virginia Polytechnic Institute and State University's Grado Department of Industrial and Systems Engineering. He is also Director of the Electronics Manufacturing Research Laboratory there, which provides a facility to support research on semiconductors and the electronics industry.
Content
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.
