Optimization for Line of Cars Manufacturing Plant using Constrained Genetic Algorithm using Constrained Genetic Algorithm

Recently, improvement of production efficiency on cars manufacturers is required. However, that improvements under existing circumstances are depending on experience and intuition by workers. We propose to objectively and efficiently improve a production line based on a GA. The difficulty of applying a GA is the number of racks and boxes is predetermined, and so we apply constrained GA. The results of simulation for virtual production line show that our proposal succeeded in reducing about 10 seconds per car compared with random positioning.