区块链平台下航运供应链的两阶段定价研究

doi:10.3778/j.issn.1002-8331.2208-0044

摘要/Abstract

摘要： 考虑到区块链的去中心化技术以及航运供应链中成员的定价决策问题，构建了一条港口-承运商的二级航运供应链。港口建立私有区块链平台与承运商共享市场需求信息，结合信息共享程度系数和成本分担比例系数，构建了在传统模式和基于区块链技术模式下分别进行各自的定价决策模型，并使用Stackelberg博弈对比两种模式下各自定价的最优策略，探讨了在私有区块链平台上不同的信息共享程度对于定价和收益的影响。研究结果发现：港口建立私有区块链平台后，无论信息共享程度如何，总是可以提高承运商的货运批发价和港口的港口批发价；当信息完全共享时，港口的收益最大，但此时承运商需要承担全部的平台构建费用，反而自身的收益会减少从而放弃加入私有区块链平台，为了良性发展承运商可以适当承担一定比例的平台成本，在一定条件下可以达成最优策略。

关键词: 区块链, 航运供应链, 动态定价, Stackelberg模型

Abstract: Considering the decentralized technology of blockchain and the pricing decisions of members in the shipping supply chain, a port-carrier secondary shipping supply chain is constructed. The port establishes a private blockchain platform for information sharing, combined with the information sharing degree coefficient and the cost sharing ratio coefficient, constructs the pricing decision-making model in the traditional model and the blockchain technology-based model, and compares the optimal pricing strategies of the two models using Stackelberg game. The impact of different degrees of information sharing on private blockchain platforms on pricing and revenue is discussed. The results of the study found that after the port establishes a private blockchain platform, regardless of the degree of information sharing, it can always increase the carrier’s freight wholesale price and the port wholesale price. When the information is fully shared, the port has the greatest benefits, but at this time the carrier needs to bear all the platform construction costs, but its own revenue will be reduced and give up joining the private blockchain platform, in order to develop the carrier that can appropriately bear a certain proportion of the platform cost, under certain conditions can reach the optimal strategy.

Key words: blockchain, shipping supply chain, dynamic and stable wages, Stackelberg model

王晓光, 殷萌. 区块链平台下航运供应链的两阶段定价研究[J]. 计算机工程与应用, 2023, 59(7): 319-327.

WANG Xiaoguang, YIN Meng. Research on Two-Stage Pricing of Shipping Supply Chain Under Blockchain Platform[J]. Computer Engineering and Applications, 2023, 59(7): 319-327.

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