Scheduling a Flow Line Manufacturing Cell with Sequence Dependent Family Setup Times Using Bilateral Genetic Algorithm (BGA)
[1]
Ghorbanali Mohammadi, Industrial Engineering Department, College of Engineering, Qom University of Technology, Qom, Iran.
[2]
Darius Mohammadi, Electrical and Computer Engineering Department, College of Engineering, Iowa State University, Ames, IA, USA.
This paper addressed the permutation of the flow line of manufacturing cell with sequence dependent parts family setup times to minimize the makespan criteria. We used the proposed BGA approach (Bilateral Genetic Algorithm) which is the evolution of GA algorithm procedure. Since the proposed BGA approach is being on the basis of GA algorithm, always does offer better solution than the GA algorithm. The proposed algorithm is evaluated by numerical experiments. By comparing the results of two methods BGA and GA, we realize that the converging rate and dispersion search in offered BGA algorithm would be more suitable and desirable than GA algorithm.
Bilateral Genetic Algorithm, BGA, Flow Line Manufacturing Cell, Makespan, Setup Time
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