Munasinghe Uvini J, Halgamuge Malka N
School of Computing and Mathematics, Charles Sturt University, VIC 3000, Australia.
Department of Information Systems and Business Analytics, RMIT University, VIC 3000, Australia.
Expert Syst Appl. 2023 Oct 15;228:120293. doi: 10.1016/j.eswa.2023.120293. Epub 2023 May 9.
We propose a novel framework, Vacledger, for supply chain traceability and counterfeit detection of COVID-19 vaccines using a blockchain network. It includes four smart contracts on a private-permissioned blockchain network for supply chain traceability and counterfeit detection of COVID-19 vaccine, more specifically to (i) handle the rules and regulations of vaccine importing countries and provide authorization for cross the borders (regulatory compliance and border authorization smart contract), (ii) register new and imported vaccines in the system (vaccine registration smart contract), (iii) find the number of stocks that have arrived in the system (stock accumulation smart contract), and (iv) identify the exact location of the stock (location tracing update smart contract). Our results show that the proposed system keeps track of all activities, events, transactions, and all other past transactions, permanently stored in an immutable connected to decentralized peer-to-peer file systems. We observe no algorithm complexity differences between the proposed system and existing supply chain frameworks based on different blockchain types. In addition, based on four use cases, we estimate our model's overall gasoline cost (transaction or gas price). The system empowers distribution companies to manage their supply chain operations effectively and securely using an in-network, permissioned distributed network. This study employs the COVID-19 vaccine supply chain (the healthcare industry) to demonstrate how the proposed system operates. Despite this, our proposed approach might be implemented in other supply chain industries, such as the food industry, energy trading, and commodity transactions.
我们提出了一种新颖的框架Vacledger,用于使用区块链网络对新冠疫苗进行供应链追溯和假冒检测。它在一个私有授权的区块链网络上包括四个智能合约,用于新冠疫苗的供应链追溯和假冒检测,更具体地说,是为了(i)处理疫苗进口国家的规则和规定,并提供跨境授权(法规合规和边境授权智能合约),(ii)在系统中注册新的和进口的疫苗(疫苗注册智能合约),(iii)查明已进入系统的库存数量(库存积累智能合约),以及(iv)确定库存的准确位置(位置追踪更新智能合约)。我们的结果表明,所提出的系统能够跟踪所有活动、事件、交易以及所有其他过去的交易,这些交易永久存储在与去中心化对等文件系统相连的不可变记录中。我们观察到,所提出的系统与基于不同区块链类型的现有供应链框架之间在算法复杂度上没有差异。此外,基于四个用例,我们估算了我们模型的总体汽油成本(交易或燃气价格)。该系统使配送公司能够使用网络内的授权分布式网络有效地且安全地管理其供应链运营。本研究采用新冠疫苗供应链(医疗行业)来演示所提出的系统是如何运作的。尽管如此,我们提出的方法可能会应用于其他供应链行业,如食品行业、能源交易和商品交易。