​吴阳 The optimisation research of Blockchain application in the financial institution-dominated supply chain finance system

发布人:陈永佳 发布时间:2023-04-21 点击次数:

我校经济管理学院吴阳在T3级别期刊——《INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH》上发表题为“The optimisation research of Blockchain application in the financial institution-dominated supply chain finance system ”。论文第一作者吴阳为经济管理学院博士后。

Abstract / 摘要

As an information technology that could significantly improve supply chain visibility and process automation, blockchain has been extensively applied in the field of supply chain finance (SCF). However, tradeoffs among the security, the operation cost, and the efficiency of the blockchain system may cause the SCF system dominated by a financial institution to inevitably fall into the dilemmas of risky or un-economic if the blockchain technology is applied inappropriately. Therefore, the objective of this paper is to optimise the blockchain application in the financial institution-based SCF system. We first analyse the application of blockchain security in SCF, and then the performance tradeoffs of blockchain and its impact on the performance of the supported SCF system. Based on the analysis above, an optimisation approach has been proposed and a corresponding non-linear integer programming (NIP) model has been constructed to select the best blockchain design schemes for the SCF system to achieve overall optimal in terms of security, cost, and efficiency. A designed ant colony algorithm is used to solve the optimisation problem. An application case analysis is used to verify the feasibility and effectiveness of the optimisation model.

论文信息;

Title/题目:

The optimisation research of Blockchain application in the financial institution-dominated supply chain finance system

Authors/作者:

Wu Yang); Wang Ziyang; Zhou Xiaohao; Yao Jianming

Keywords /关键词

Blockchain applicationsupply chain financeoptimisation modelant colony algorithmNIP model

DOI: 10.1080/00207543.2022.2087567

全文链接:https://www.tandfonline.com/doi/abs/10.1080/00207543.2022.2087567?journalCode=tprs20