Abstract
As an essential part of recent business decision-making, this study has called attention on the entire transportation network associated with supply-chain management. To optimize such large-scale and complex problems, we proposed a hybrid method equipped with meta-heuristic method and graph algorithm after decomposing the problem in a hierarchical manner. Then we provide a novel adjusting method to obtain a consequent solution from each result solved individually. Through numerical experiments, we verified the performance of the proposed method.