Assembly Line Balancing Using Genetic Algorithm Method to Minimize Number of Working Stations: A Case Study in Car Manufacturing

In this competitive era, there are no more manufacturing organizations that want to produce products in large volumes with low variations. The company is now shifting toward the idea of producing more variations that are of interest to consumers. Increased demand and production targets cannot be avoided. however, the increase must be adjusted to the worker's resources according to their function. If it is not balanced, it will cause a bottleneck on the production flow caused by the operating time at a workstation exceeding the takt time. then we need to balance the assembly line to get optimum and efficient results. Assembly line balancing (ALB) is used to flatten workload on all processes in a cell or value stream to eliminate bottlenecks and excess capacity, with a limitation of slowing down process time and excess capacity. The completion of this case study uses a combination of Priority Rule- Based/heuristic methods and Genetic Algorithm methods.