Multi-factory Cellular Manufacturing Cell Formation and Product Scheduling via Genetic Algorithm

The work aims to solve a cell formation and product scheduling problem by considering dual-resource setting, supply chain, profit maximization, and operational error rate in multi-factory cellular manufacturing systems. This problem is important and highly challenging. To solve it, this work proposes a genetic algorithm with novel initialization. Computational experiments are conducted to show that the proposed algorithm has better performance than conventional genetic algorithm without the proposed heuristic given the same computational budget.