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Titlebook: Efficient Production Planning and Scheduling; An Integrated Approa Patricia Jay Shiroma Textbook 1996 Springer Fachmedien Wiesbaden 1996 Fe

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发表于 2025-3-21 18:14:26 | 显示全部楼层 |阅读模式
书目名称Efficient Production Planning and Scheduling
副标题An Integrated Approa
编辑Patricia Jay Shiroma
视频video
丛书名称Information Engineering und IV-Controlling
图书封面Titlebook: Efficient Production Planning and Scheduling; An Integrated Approa Patricia Jay Shiroma Textbook 1996 Springer Fachmedien Wiesbaden 1996 Fe
描述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.
出版日期Textbook 1996
关键词Fertigung; Information Engineering und IV-Controlling; Scheduling; genetische Algorithmen; production pl
版次1
doihttps://doi.org/10.1007/978-3-663-08438-9
isbn_softcover978-3-8244-6426-5
isbn_ebook978-3-663-08438-9
copyrightSpringer Fachmedien Wiesbaden 1996
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https://doi.org/10.33283/978-3-86298-622-4imited to small prototypes or standard benchmark problems (Beasley 1990). Although benchmark problems provide a simplified means of comparing different optimization methods with one another, they are not very representative of industrial applications.
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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 product
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Methodology,imited to small prototypes or standard benchmark problems (Beasley 1990). Although benchmark problems provide a simplified means of comparing different optimization methods with one another, they are not very representative of industrial applications.
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ion 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.978-3-8244-6426-5978-3-663-08438-9
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