Efficient Production Planning and Scheduling: An Integrated Approach with Genetic Algorithms and Simulation Cover

Efficient Production Planning and Scheduling: An Integrated Approach with Genetic Algorithms and Simulation

ISBN/ASIN: 9783824464265,9783663084389 | 1996 | German | pdf | 154/164 pages | 3.84 Mb
Publisher: Deutscher Universitätsverlag | Author: Patricia Jay Shiroma (auth.) | Edition: 1

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: An Integrated Approach with Genetic Algorithms and Simulation

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