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Efficient Production Planning and Scheduling: An Integrated Approach with Genetic Algorithms and Simulation (Information Engineering und IV-Controlling) - Softcover
Synopsis
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.
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About the Author
Dr. Patricia Jay Shiroma ist seit Dezember 1992 als Assistentin am Lehrstuhl von Prof. G. Niemeyer an der Universität Regensburg im Bereich Wirtschaftsinformatik tätig.
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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.
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Efficient Production Planning and Scheduling
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Deutscher Universitätsverlag, 1996
ISBN 10: 3824464268
ISBN 13: 9783824464265
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Efficient Production Planning and Scheduling: An Integrated Approach with Genetic Algorithms and Simulation (Information Engineering und IV-Controlling) (German Edition)
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Efficient Production Planning and Scheduling: An Integrated Approach with Genetic Algorithms and Simulation
Published by
Deutscher Universit?tsverlag, 1996
ISBN 10: 3824464268
ISBN 13: 9783824464265
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Condition: New. Series: Information Engineering Und IV-Controlling. Num Pages: black & white illustrations, bibliography. BIC Classification: KJMV5. Category: (G) General (US: Trade). Dimension: 210 x 148 x 9. Weight in Grams: 213. . 1996. 1996th Edition. paperback. . . . . Seller Inventory # V9783824464265
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Efficient Production Planning and Scheduling
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 154 pp. Englisch. Seller Inventory # 9783824464265
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Efficient Production Planning and Scheduling
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Efficient Production Planning and Scheduling
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Efficient Production Planning and Scheduling: An Integrated Approach with Genetic Algorithms and Simulation
Published by
Deutscher Universitätsverlag, 1996
ISBN 10: 3824464268
ISBN 13: 9783824464265
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Condition: New. Series: Information Engineering Und IV-Controlling. Num Pages: black & white illustrations, bibliography. BIC Classification: KJMV5. Category: (G) General (US: Trade). Dimension: 210 x 148 x 9. Weight in Grams: 213. . 1996. 1996th Edition. paperback. . . . . Books ship from the US and Ireland. Seller Inventory # V9783824464265
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Efficient Production Planning and Scheduling
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Deutscher Universitätsverlag, 1996
ISBN 10: 3824464268
ISBN 13: 9783824464265
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Patricia Jay Shiroma ist seit Dezember 1992 als Assistentin am Lehrstuhl von Prof. G. Niemeyer an der Universitaet Regensburg im Bereich Wirtschaftsinformatik taetig.Patricia Shiroma explores the possibility of combining genetic algorithms with si. Seller Inventory # 5337970
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