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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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發(fā)表于 2025-3-21 18:14:26 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Efficient Production Planning and Scheduling
副標(biāo)題An Integrated Approa
編輯Patricia Jay Shiroma
視頻videohttp://file.papertrans.cn/303/302997/302997.mp4
叢書名稱Information Engineering und IV-Controlling
圖書封面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
關(guān)鍵詞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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