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Optimization of Parallel Machine Scheduling (PMS) using Intelligent Techniques


Affiliations
1 Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore - 641 006, India
2 Department of Mechanical Engineering, Coimbatore Institute of Technology, Coimbatore - 641 014, India
     

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Optimization of parallel machine scheduling in a shop floor environment is considered with the objectives of minimizing both the total earliness and the total tardiness. A hybrid optimization procedure based on genetic algorithm and fuzzy logic technique has been developed in this work in order to achieve the multi-objective functions. The proposed optimization procedure is compared with the existing heuristics and the performances are analyzed.
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  • Optimization of Parallel Machine Scheduling (PMS) using Intelligent Techniques

Abstract Views: 148  |  PDF Views: 0

Authors

K. Raja
Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore - 641 006, India
R. Saravanan
Department of Mechanical Engineering, Kumaraguru College of Technology, Coimbatore - 641 006, India
V. Selladurai
Department of Mechanical Engineering, Coimbatore Institute of Technology, Coimbatore - 641 014, India

Abstract


Optimization of parallel machine scheduling in a shop floor environment is considered with the objectives of minimizing both the total earliness and the total tardiness. A hybrid optimization procedure based on genetic algorithm and fuzzy logic technique has been developed in this work in order to achieve the multi-objective functions. The proposed optimization procedure is compared with the existing heuristics and the performances are analyzed.