Stochastic scheduling:
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 perfo...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2010
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| 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 implementation |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xii, 191 pages) |
| ISBN: | 9780511778032 |
| DOI: | 10.1017/CBO9780511778032 |
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| 505 | 8 | |a 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 | |
| 520 | |a 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 | ||
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Datensatz im Suchindex
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| any_adam_object | |
| author | Sarin, Subhash Chander |
| author_facet | Sarin, Subhash Chander |
| author_role | aut |
| author_sort | Sarin, Subhash Chander |
| author_variant | s c s sc scs |
| building | Verbundindex |
| bvnumber | BV043942938 |
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| contents | 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 |
| ctrlnum | (ZDB-20-CBO)CR9780511778032 (OCoLC)839032630 (DE-599)BVBBV043942938 |
| dewey-full | 658.5/3 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.5/3 |
| dewey-search | 658.5/3 |
| dewey-sort | 3658.5 13 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511778032 |
| format | Electronic eBook |
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| id | DE-604.BV043942938 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:18Z |
| institution | BVB |
| isbn | 9780511778032 |
| language | English |
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| oclc_num | 839032630 |
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| physical | 1 online resource (xii, 191 pages) |
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| publishDate | 2010 |
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| publisher | Cambridge University Press |
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| spelling | Sarin, Subhash Chander Verfasser aut Stochastic scheduling Subhash C. Sarin, Balaji Nagarajan, Lingrui Liao Cambridge Cambridge University Press 2010 1 online resource (xii, 191 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 Production scheduling Stochastischer Prozess (DE-588)4057630-9 gnd rswk-swf Ablaufplanung (DE-588)4122751-7 gnd rswk-swf Ablaufplanung (DE-588)4122751-7 s Stochastischer Prozess (DE-588)4057630-9 s 1\p DE-604 Nagarajan, Balaji Sonstige oth Liao, Lingrui Sonstige oth Erscheint auch als Druckausgabe 978-0-521-51851-2 Erscheint auch als Druckausgabe 978-1-107-63790-0 https://doi.org/10.1017/CBO9780511778032 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Sarin, Subhash Chander Stochastic scheduling 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 Production scheduling Stochastischer Prozess (DE-588)4057630-9 gnd Ablaufplanung (DE-588)4122751-7 gnd |
| subject_GND | (DE-588)4057630-9 (DE-588)4122751-7 |
| title | Stochastic scheduling |
| title_auth | Stochastic scheduling |
| title_exact_search | Stochastic scheduling |
| title_full | Stochastic scheduling Subhash C. Sarin, Balaji Nagarajan, Lingrui Liao |
| title_fullStr | Stochastic scheduling Subhash C. Sarin, Balaji Nagarajan, Lingrui Liao |
| title_full_unstemmed | Stochastic scheduling Subhash C. Sarin, Balaji Nagarajan, Lingrui Liao |
| title_short | Stochastic scheduling |
| title_sort | stochastic scheduling |
| topic | Production scheduling Stochastischer Prozess (DE-588)4057630-9 gnd Ablaufplanung (DE-588)4122751-7 gnd |
| topic_facet | Production scheduling Stochastischer Prozess Ablaufplanung |
| url | https://doi.org/10.1017/CBO9780511778032 |
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