Multi-Objective Assembly Line Balancing Problem with Setup Times Using Fuzzy Goal Programming and Genetic Algorithm

Assembly lines are often indispensable in factories, and order to attain a certain level of assembly line productivity, multiple goals must be considered at the same time. However, these may conflict with each other, this is multi-objective balancing problem. This study considers four objectives, namely minimizing cycle time, number workstations, workload variance, workstation idle Since objectives for example, time increase fuzzy linear programming model used maximize satisfaction level. When problem becomes too complicated, it not solved by using mathematical software package. Therefore, genetic algorithm proposed solve efficiently. By studying practical cases an automobile manufacturer, results show that can small-scale problems efficiently, obtain good solutions large-scale short computational Datasets from previous works adopted examine applicability models. The both smaller larger problems. models applied practitioners managing