Stochastic scheduling / Subhash C. Sarin, Balaji Nagarajan, Lingrui Liao

Von:

Sarin, Subhash Chander [VerfasserIn]

Mitwirkende(r):

Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: Cambridge : Cambridge University Press, 2010Beschreibung: 1 Online-Ressource (xii, 191 pages) : digital, PDF file(s)ISBN:

9780511778032

Schlagwörter:

Production scheduling

Andere physische Formen: 9780521518512. | 9781107637900. | Erscheint auch als: Stochastic scheduling. Druck-Ausgabe 1. publ. New York, NY : Cambridge University Press, 2010. XII, 191 S.DDC-Klassifikation:

658.5/3 22

MSC: MSC: *90-02 | 90B36LOC-Klassifikation:

TS157.5

DOI: DOI: 10.1017/CBO9780511778032Online-Ressourcen:

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Zusammenfassung: 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 implementationZusammenfassung: 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 remarksPPN: PPN: 883399318Package identifier: Produktsigel: ZDB-20-CTM | ZDB-20-CBO

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