In this paper, a multi-objective assembly line balancing problem (ALBP) is considered by assuming the fuzzy process time. The objective is minimizing a weighted sum of two contrast and classical criteria in literature as cycle time and the number of stations. A mixed-integer model is proposed for solving this problem. As the ALBP is NPhard problem, genetic algorithm (GA) with a novel representation is proposed for large-scaled problem. A number of small-sized problems were considered to optimally solve in order to verify the performance of the proposed model. The obtained results present that the efficiency of the proposed model and the ability of developed GA to achieve optimal solution in reasonable time.

Full text: IJEIR-1387_final.pdf