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9 September 2019 Research on Freight Pricing Mechanism of Shipping Companies Considering Supply Chain Management
Xuexin Bao, Xiangchun Xing, Dan Zhang
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Abstract

Bao, X.-X.; Xing, X.-C., and Zhang, D., 2019. Research on freight pricing mechanism of shipping companies considering supply chain management. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 568–572. Coconut Creek (Florida), ISSN 0749-0208.

Fast, low-cost and high-efficiency are the core competitiveness of shipping companies in international marine transportation. To better guide shipping companies to optimize freight pricing under the dynamic environment of supply chain, this paper carries out freight pricing research based on supply chain management. It takes the container liners of shipping companies as the research object. From the perspective of supply chain analysis and based on factors affecting the pricing of shipping companies, it completes the mathematical simulation of the freight pricing mechanism of shipping companies; from the aspects of customer group and order time in supply chain management, this paper establishes the discriminatory pricing and multi-stage dynamic pricing models for market segments respectively, and verifies the validity of the models by examples. The model solution results show that discriminatory pricing and multi-stage dynamic pricing can assist shipping companies to optimize freight pricing and maximize the company's revenue. The research is of guiding significance for guiding shipping companies to cope with the contradiction between supply and demand in the market and to improve their competitiveness in the international container liner shipping market.

©Coastal Education and Research Foundation, Inc. 2019
Xuexin Bao, Xiangchun Xing, and Dan Zhang "Research on Freight Pricing Mechanism of Shipping Companies Considering Supply Chain Management," Journal of Coastal Research 94(sp1), 568-572, (9 September 2019). https://doi.org/10.2112/SI94-112.1
Received: 12 February 2019; Accepted: 9 March 2019; Published: 9 September 2019
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KEYWORDS
freight pricing
mathematical models
revenue management
shipping companies
supply chain management
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