A Simulation-Based Optimization Approach For Mixed model Two-sided Assembly Line Balancing with stochastic task times (Case Study: Beh Afarinan Datis Tiva Company)

Mixed model two-sided assembly lines are widely used in various industries because of their increased capability to meet a wide range of customer demands. Assembly Line Balancing is a fundamental design issue for industries. On the other hand, Mixed model Two-sided Assembly Line Balancing is a NP-hard problem. Therefore, it is necessary for researchers to design effective approaches to solve this problem. In this paper, a genetic algorithm is applied to balance the assembly line of the "Beh Afarinan Datis Tiva Company" which is of MTALB type. Because of the randomness of tasks time, the simulation-based optimization approach has been used to get closer to the real situation. Finally, by comparing the minimizing the number of mated stations, the total number of stations, the Weighted Line Efficiency and the Weighted Smoothness Index criterion for a specific cycle time before and after assembly line balancing, the effect of balancing on the assembly line performance is shown.