Joint Distribution Benefits Allocation - Blockchain-Based Optimization of Logistics Distribution Efficiency

Man Zhang, Xinyu Tian and Mengke Yang ()
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Man Zhang: Beijing University of Posts and Telecommunications
Xinyu Tian: Beijing University of Posts and Telecommunications
Mengke Yang: Beijing University of Posts and Telecommunications

A chapter in LISS 2024, 2025, pp 603-614 from Springer

Abstract: Abstract Joint distribution as an effective means of reducing logistics costs has been widely applied on a large scale worldwide in recent years. However, the existing joint distribution models struggle to efficiently and fairly allocate the benefits generated by orders to logistics companies, and the lack of transparency in the distribution process leads to an increase in overall distribution costs. In response to the aforementioned issues, this paper designs a blockchain-based logistics joint distribution model and proposes an optimized benefit allocation model, aiming to enhance the overall transparency of joint distribution and the efficiency of benefit allocation. Firstly, smart contracts based on blockchain technology are used to ensure the on-time repayment and settlement of economic benefits, and to control the credit limits of enterprises, achieving short-term, stable distribution. Secondly, the paper proposes introducing the decentralized features of blockchain into distributed nodes, thereby facilitating the sharing of logistics alliance data and achieving a balanced distribution among multiple nodes. Finally, by introducing factors of risk and resources, the original Shapley value is revised for production and sales costs, enhancing the overall distribution effect, and a revised calculation formula is proposed. This paper, through literature review and computational methods, calculates the Shapley value of enterprise benefit distribution after the introduction of blockchain and revises it based on two factors: risk and resources. The results show that the revised benefit distribution plan is significantly superior to traditional methods in both calculation results and distribution efficiency. The design presented in this paper can more effectively optimize the problem of benefit distribution among logistics companies in joint distribution.

Keywords: Joint Distribution; Profit Distribution; Blockchain; Logistics Costs (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-981-96-9697-0_46

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