Stochastic Scheduling /
Sarin, Subhash Chander
Stochastic Scheduling / Subhash C. Sarin, Balaji Nagarajan, Lingrui Liao, Virginia Polytechnic Institute And State University - Cambridge ; New York : Cambridge University Press, ©2010 - Xii, 191 Pages : Illustrations ; 27 cm
Includes bibliographical references (p. 183-186) and index.
Introduction -- Robust scheduling approaches to hedge against processing time uncertainty -- Expectation-variance analysis in stochastic multiobjective scheduling -- Single-machine models -- Flow shop models -- Job-shop models -- Parallel-machine models -- The case of general processing time distribution -- Concluding remarks.
"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"--Provided by publisher.
9780521518512 0521518512
2010000032
GBB006771 bnb
015468166 Uk
Production Scheduling
TS157.5 / .S27 2010
Stochastic Scheduling / Subhash C. Sarin, Balaji Nagarajan, Lingrui Liao, Virginia Polytechnic Institute And State University - Cambridge ; New York : Cambridge University Press, ©2010 - Xii, 191 Pages : Illustrations ; 27 cm
Includes bibliographical references (p. 183-186) and index.
Introduction -- Robust scheduling approaches to hedge against processing time uncertainty -- Expectation-variance analysis in stochastic multiobjective scheduling -- Single-machine models -- Flow shop models -- Job-shop models -- Parallel-machine models -- The case of general processing time distribution -- Concluding remarks.
"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"--Provided by publisher.
9780521518512 0521518512
2010000032
GBB006771 bnb
015468166 Uk
Production Scheduling
TS157.5 / .S27 2010