Integrated Assembly Line Balancing with Resource Restrictions

June Seong

In this paper, we consider the problem of designing an integrated assembly line when many workers are available. This problem addressed the selection of multifunctional workers with different salaries depending on their skills and the assignment of tasks to workstations when precedence restrictions exist among the tasks. The objective is to minimize the sum of the total annual workstation cost and annual salary of the assigned workers, given a predetermined cycle time. We developed a mathematical model and a genetic algorithm for the integrated assembly line balancing problem with resource restrictions. Numerical examples demonstrate the efficiency of the developed genetic algorithm.