Efficient Production Planning and Scheduling: An Integrated Approach with Genetic Algorithms and Simulation
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | German |
| Published: |
Wiesbaden
Deutscher Universitätsverlag
1996
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| Edition: | Gabler Edition Wissenschaft |
| Series: | Information Engineering und IV-Controlling
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| Subjects: | |
| Online Access: | Volltext |
| Item Description: | Genetic algorithms refer to a class of optimization methods based on principles of natural selection and evolution. Although there have been a number of successful implementations in scientific and engineering applications, up until now there have been relatively few applications in the business world. Patricia Shiroma explores the possibility of combining genetic algorithms with simulation studies in order to generate efficient production schedules for parallel manufacturing processes. The author takes advantage of the synergistic effects between the two methods. The result is a flexible, highly effective production scheduling system which is tested in a case study |
| Physical Description: | 1 Online-Ressource (XIV, 154 S.) |
| ISBN: | 9783663084389 9783824464265 |
| DOI: | 10.1007/978-3-663-08438-9 |
Staff View
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| 505 | 0 | |a 1 Introduction -- 2 The Nature of Evolutionary Algorithms -- 3 Theoretical Foundations of Genetic Algorithms -- 4 Methodology -- 5 Feasibility Study: A Hybrid Genetic Algorithm Embedded in Amtos -- 6 Case Study: Implementation of a Hybrid Genetic Algorithm for Production Planning in a Large Pharmaceutical Company -- 7 Summary and Plans for Future Research | |
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Record in the Search Index
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| author | Shiroma, Patricia Jay |
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| contents | 1 Introduction -- 2 The Nature of Evolutionary Algorithms -- 3 Theoretical Foundations of Genetic Algorithms -- 4 Methodology -- 5 Feasibility Study: A Hybrid Genetic Algorithm Embedded in Amtos -- 6 Case Study: Implementation of a Hybrid Genetic Algorithm for Production Planning in a Large Pharmaceutical Company -- 7 Summary and Plans for Future Research |
| ctrlnum | (OCoLC)864089352 (DE-599)BVBBV041614077 |
| dewey-full | 330 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 330 - Economics |
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| dewey-search | 330 |
| dewey-sort | 3330 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-3-663-08438-9 |
| edition | Gabler Edition Wissenschaft |
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| isbn | 9783663084389 9783824464265 |
| language | German |
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| spelling | Shiroma, Patricia Jay Verfasser aut Efficient Production Planning and Scheduling An Integrated Approach with Genetic Algorithms and Simulation von Patricia Jay Shiroma Gabler Edition Wissenschaft Wiesbaden Deutscher Universitätsverlag 1996 1 Online-Ressource (XIV, 154 S.) txt rdacontent c rdamedia cr rdacarrier Information Engineering und IV-Controlling Genetic algorithms refer to a class of optimization methods based on principles of natural selection and evolution. Although there have been a number of successful implementations in scientific and engineering applications, up until now there have been relatively few applications in the business world. Patricia Shiroma explores the possibility of combining genetic algorithms with simulation studies in order to generate efficient production schedules for parallel manufacturing processes. The author takes advantage of the synergistic effects between the two methods. The result is a flexible, highly effective production scheduling system which is tested in a case study 1 Introduction -- 2 The Nature of Evolutionary Algorithms -- 3 Theoretical Foundations of Genetic Algorithms -- 4 Methodology -- 5 Feasibility Study: A Hybrid Genetic Algorithm Embedded in Amtos -- 6 Case Study: Implementation of a Hybrid Genetic Algorithm for Production Planning in a Large Pharmaceutical Company -- 7 Summary and Plans for Future Research Economics Economics/Management Science Economics/Management Science, general Management Wirtschaft Genetischer Algorithmus (DE-588)4265092-6 gnd rswk-swf Reihenfolgeproblem (DE-588)4242167-6 gnd rswk-swf Produktionsplanung (DE-588)4047360-0 gnd rswk-swf 1\p (DE-588)4113937-9 Hochschulschrift gnd-content Produktionsplanung (DE-588)4047360-0 s Reihenfolgeproblem (DE-588)4242167-6 s Genetischer Algorithmus (DE-588)4265092-6 s 2\p DE-604 https://doi.org/10.1007/978-3-663-08438-9 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Shiroma, Patricia Jay Efficient Production Planning and Scheduling An Integrated Approach with Genetic Algorithms and Simulation 1 Introduction -- 2 The Nature of Evolutionary Algorithms -- 3 Theoretical Foundations of Genetic Algorithms -- 4 Methodology -- 5 Feasibility Study: A Hybrid Genetic Algorithm Embedded in Amtos -- 6 Case Study: Implementation of a Hybrid Genetic Algorithm for Production Planning in a Large Pharmaceutical Company -- 7 Summary and Plans for Future Research Economics Economics/Management Science Economics/Management Science, general Management Wirtschaft Genetischer Algorithmus (DE-588)4265092-6 gnd Reihenfolgeproblem (DE-588)4242167-6 gnd Produktionsplanung (DE-588)4047360-0 gnd |
| subject_GND | (DE-588)4265092-6 (DE-588)4242167-6 (DE-588)4047360-0 (DE-588)4113937-9 |
| title | Efficient Production Planning and Scheduling An Integrated Approach with Genetic Algorithms and Simulation |
| title_auth | Efficient Production Planning and Scheduling An Integrated Approach with Genetic Algorithms and Simulation |
| title_exact_search | Efficient Production Planning and Scheduling An Integrated Approach with Genetic Algorithms and Simulation |
| title_full | Efficient Production Planning and Scheduling An Integrated Approach with Genetic Algorithms and Simulation von Patricia Jay Shiroma |
| title_fullStr | Efficient Production Planning and Scheduling An Integrated Approach with Genetic Algorithms and Simulation von Patricia Jay Shiroma |
| title_full_unstemmed | Efficient Production Planning and Scheduling An Integrated Approach with Genetic Algorithms and Simulation von Patricia Jay Shiroma |
| title_short | Efficient Production Planning and Scheduling |
| title_sort | efficient production planning and scheduling an integrated approach with genetic algorithms and simulation |
| title_sub | An Integrated Approach with Genetic Algorithms and Simulation |
| topic | Economics Economics/Management Science Economics/Management Science, general Management Wirtschaft Genetischer Algorithmus (DE-588)4265092-6 gnd Reihenfolgeproblem (DE-588)4242167-6 gnd Produktionsplanung (DE-588)4047360-0 gnd |
| topic_facet | Economics Economics/Management Science Economics/Management Science, general Management Wirtschaft Genetischer Algorithmus Reihenfolgeproblem Produktionsplanung Hochschulschrift |
| url | https://doi.org/10.1007/978-3-663-08438-9 |
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