Sarin, Subhash Chander. <br/><br/>
Stochastic scheduling / 
Subhash C. Sarin, Balaji Nagarajan and Lingrui Liao. 
 - Cambridge ;  New York :  Cambridge University Press,  2010. 
 - xii, 191 p. :  ill. ;  27 cm. 
<br/><br/>Includes bibliographical references (p. 183-186) and index. 
<br/><br/>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. 
<br/><br/> "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. 
<br/><br/><label>ISBN: </label>9780521518512 9781107637900 
<br/><br/><label>LCCN: </label>2010000032 
<br/><br/><label>Nat. Bib. No.: </label>GBB006771  bnb 
<br/><br/><label>Nat. Bib. Agency Control No.: </label>015468166  Uk 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Production scheduling.
<br/><br/><label>LC Class. No.: </label>TS157.5  / .S27 2010 
<br/><br/><label>Dewey Class. No.: </label>658.53 SAR-S