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

✍ Scribed by Patricia Jay Shiroma (auth.)

Publisher: Deutscher Universitätsverlag
Year: 1996
Tongue: German
Leaves: 164
Series: Information Engineering und IV-Controlling
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ 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.

✦ Table of Contents

Front Matter....Pages I-XIV
Introduction....Pages 1-31
The Nature of Evolutionary Algorithms....Pages 33-42
Theoretical Foundations of Genetic Algorithms....Pages 43-61
Methodology....Pages 63-95
Feasibility Study: A Hybrid Genetic Algorithm Embedded in AMTOS....Pages 97-103
Case Study: Implementation of a Hybrid Genetic Algorithm for Production Planning in a Large Pharmaceutical Company....Pages 105-136
Summary and Plans for Future Research....Pages 137-142
Back Matter....Pages 143-155

✦ Subjects

Economics/Management Science, general

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