TY - JOUR
T1 - Production simulator system for flexible routing optimization in flexible manufacturing systems
AU - Abu Qudeiri, Jaber E.
N1 - Funding Information:
This project was financially supported by King Saud University, Vice Deanship of Research Chairs.
Publisher Copyright:
© Institution of Mechanical Engineers.
PY - 2017/5/1
Y1 - 2017/5/1
N2 - Optimizing flexible routing in flexible manufacturing systems ameliorates the efficiency of flexible manufacturing systems. In the present competitive market, accuracy in the planning stage plays an important role. Therefore, in this article, a production simulator system based on genetic algorithms is utilized to find the near-optimal flexible routing for flexible manufacturing systems. A combination of production simulator system and genetic algorithms is introduced to find the appropriate order of a set of operations for jobs that need to be operated on available machine tools in flexible manufacturing systems. In order to augment genetic algorithms, a matrix encoding method is incorporated. The proposed simulation is applied to numerical case studies of flexible routing for flexible manufacturing systems problem. The purpose of case studies is to demonstrate the successful applicability of the proposed method for flexible routing for flexible manufacturing systems problem.
AB - Optimizing flexible routing in flexible manufacturing systems ameliorates the efficiency of flexible manufacturing systems. In the present competitive market, accuracy in the planning stage plays an important role. Therefore, in this article, a production simulator system based on genetic algorithms is utilized to find the near-optimal flexible routing for flexible manufacturing systems. A combination of production simulator system and genetic algorithms is introduced to find the appropriate order of a set of operations for jobs that need to be operated on available machine tools in flexible manufacturing systems. In order to augment genetic algorithms, a matrix encoding method is incorporated. The proposed simulation is applied to numerical case studies of flexible routing for flexible manufacturing systems problem. The purpose of case studies is to demonstrate the successful applicability of the proposed method for flexible routing for flexible manufacturing systems problem.
KW - Flexible manufacturing system
KW - flexible routing
KW - genetic algorithms
KW - production simulator
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U2 - 10.1177/0954405415584959
DO - 10.1177/0954405415584959
M3 - Article
AN - SCOPUS:85020486193
SN - 0954-4054
VL - 231
SP - 1237
EP - 1247
JO - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
JF - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
IS - 7
ER -