Research and Application on Matching Method of Vessels and Cargos in Ocean Shipping Market
|School||Nanjing University of Aeronautics and Astronautics|
|Course||Management Science and Engineering|
|Keywords||Multi - attribute matching Heuristic algorithm Solution space limit law Decomposition method Ocean Shipping|
With the globalization of commodity markets, logistics, transport industry is also growing quickly. On the transport of goods in the international market is more dependent on maritime transport, especially in ocean transportation. Shipping large amount of information, asymmetric information, market supply and demand information not be able to accurately grasp the lack of Optimal Analysis technology and other factors, led to a no-load rate of the ship, cargo transport is not timely, high quality transport status quo. Therefore, it is necessary to meet the specific needs of the ocean shipping industry cargo matching method. Counterparties under the guidance of the effective methods can be more rapidly for the goods to choose the most suitable ship to ship or ship select the most suitable goods to occupy its transport capacity, thereby reducing the time and waiting time of the sails of the ship to reduce empty carrier costs, control the backlog of goods to be carried, the residence time and cost. This study will quickly find out as much as possible of the potential business opportunities, reduce matching error as the ultimate goal. Therefore, a detailed study to meet the specific needs of the ocean shipping industry cargo matching method, starting from the idea of ??multi-attribute matching, propose effective property description, matching the method of calculation of losses and gains. With the flexibility of the heuristic algorithm, easy to combine the advantages of business specific, the three practical common business scenarios, ship cargo set to ship orders and shipments bilateral match, respectively, to build a multi-attribute constraint model define a reasonable heuristic rules, dispersed in multiple stages to consider various constraints to limit the understanding of spatial scale, thus solving the multi-attribute matching problem. Finally, the matching method of the cargo with Uniwell (HK) Company's actual applications combined with the actual business data, analysis, verify that matching the effectiveness of the method proposed in this paper. And further tap the possible extension of the application of the cargo matching method. The subject of study for the ship and cargo voyage estimate stage match solutions like Uniwell (HK) this Ocean Shipping Company, Ocean Shipping Company continued to slump in the market level, the sharp rise in fuel costs adversely enhance assured The income level of ability. In summary, the research papers of high theoretical and practical value.