Efficient Production Planning and Scheduling: An Integrated Approach with Genetic Algorithms and Simulation (Information Engineering und IV-Controlling) - Softcover

Shiroma, Patricia Jay

 
9783824464265: Efficient Production Planning and Scheduling: An Integrated Approach with Genetic Algorithms and Simulation (Information Engineering und IV-Controlling)
Softcover
ISBN 10: 3824464268 ISBN 13: 9783824464265
Verlag: Deutscher Universitäts-Verlag, 2013

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Dr. Patricia Jay Shiroma ist seit Dezember 1992 als Assistentin am Lehrstuhl von Prof. G. Niemeyer an der Universität Regensburg im Bereich Wirtschaftsinformatik tätig.

Von der hinteren Coverseite

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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Verlag
Deutscher Universitäts-Verlag
Erscheinungsdatum
2013
Sprache
Deutsch
ISBN 10 
3824464268
ISBN 13 
9783824464265
Einband
Taschenbuch
Anzahl der Seiten
172
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