Global Logistics Road Planning: A Genetic Algorithm Approach
نویسنده
چکیده
Logistics transportation between two countries presents some special challenges and issues for business organizations, because of the cost differentials between two countries regarding transporting, staffing, warehousing, etc. In this study, we consider a logistics problem experienced by a producer of electrical equipment, which needs to transport their products, which are produced in Mainland China and stored in Mainland China’s warehouse, to Hong Kong’s warehouse by truck every day. The company has their own fleet with the limited capacity. Based on the strategic plan, the company has no any plan to purchase new trucks, and they would like to rent additional trucks from two countries for crossing-border transportation. The logistic company has to determine its fleet composition and route, as well as the inventory level in the two warehouses. A mixed 0-1 integer programming model is formulated. As the solution method, we propose a genetic algorithm. Computational results demonstrate the effectiveness of the proposed model and algorithm.
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