论文标题

支持区块链的供应链:一项实验研究

Blockchain-enabled supply chain: An experimental study

论文作者

Longo, Francesco, Nicoletti, Letizia, Padovano, Antonio, d'Atri, Gianfranco, Forte, Marco

论文摘要

尽管信息和通信技术(ICT)降低了信息不对称并提高了组织间协作的程度,但参与供应链的公司在信息明智的情况下不太倾向于共享数据,并且无法完全信任合作伙伴。在这种情况下,区块链是一个分散的证书管理机构,可以提供经济和运营的福利,但是在供应链中运营的公司声称由于其新颖性以及缺乏用例和应用程序研究而对区块链不了解。在这项工作中,已经设计和开发了一个软件连接器,以将类似以太坊的区块链与企业的信息系统联系起来,以允许公司与其可见度不同的合作伙伴共享信息,并通过区块链通过区块链来检查数据的真实性,完整性和不变性,从而建立信任。为了探索将区块链部署在供应链中的潜力,已经开发了一个模拟模型来重新创建供应链操作并通过相同的软件连接器与区块链集成以进行场景统计分析。应用程序结果表明,区块链技术是一种方便的工具,可以克服供应链中的协作和信任问题,以提高供应链的总体绩效,以最大程度地减少信息不对称的负面影响,而不是供应链梯队的梯队的负面后果,并阻止公司避免任何不当行为(例如,对数据的数据准确或低数据准确性)。

Despite Information and Communication Technologies (ICT) have reduced the information asymmetry and increased the degree of interorganizational collaboration, the companies participating a supply chain are less inclined to share data when information is sensible and partners cannot be fully trusted. In such a context, Blockchain is a decentralized certificate authority that may provide economic and operational benefits but companies operating in a supply chain claim to have little knowledge about Blockchain due to its novelty and to the lack of use cases and application studies. In this work, a software connector has been designed and developed to connect an Ethereum-like blockchain with the enterprises' information systems to allow companies to share information with their partners with different levels of visibility and to check data authenticity, integrity and invariability over time through the blockchain, thus building trust. In order to explore the potential of deploying the blockchain in a supply chain, a simulation model has been developed to recreate the supply chain operations and integrated with the blockchain through the same software connector to carry out a scenario statistical analysis. Application results shows how blockchain technology is a convenient instrument to overcome collaboration and trust issues in a supply chain, to increase the supply chain overall performance, to minimize the negative consequences of information asymmetry over the echelons of a supply chain but also to discourage companies from any misconduct (e.g. counterfeiting data or low data accuracy).

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