Integrating Smart Contracts in Manufacturing for Automated Assessment of Production Quality

Sebastiano Gaiardelli, Stefano Spellini, Michele Pasqua, M. Ceccato, F. Fummi
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Abstract

Products and materials traceability is essential in modern manufacturing, where the production must meet certain standards that range from Quality Control (QC) to the quality of the used materials. In this environment, blockchain applications allow certifying data provenience and subsequent modification, offering trust and security along the entire supply chain. Nonetheless, the design and the development of such applications are usually performed manually and, thus, subject to errors.In this paper, we propose a methodology allowing to automatically generate smart contracts starting from a SysML model. This approach allows easing the integration of blockchain applications in a production system: by abstracting the implementations with models, it is possible to generate smart contracts for different blockchains, connecting to multiple production environments.We applied the proposed methodology on a real manufacturing system, assessing the quality of a case-study production.
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将智能合约集成到制造中,实现生产质量的自动评估
产品和材料的可追溯性在现代制造业中至关重要,在现代制造业中,生产必须符合从质量控制(QC)到所用材料质量的某些标准。在这种环境下,区块链应用程序允许验证数据来源和随后的修改,从而在整个供应链中提供信任和安全性。尽管如此,此类应用程序的设计和开发通常是手动执行的,因此容易出错。在本文中,我们提出了一种允许从SysML模型开始自动生成智能合约的方法。这种方法可以简化区块链应用程序在生产系统中的集成:通过用模型抽象实现,可以为不同的区块链生成智能合约,连接到多个生产环境。我们将提出的方法应用于一个真实的制造系统,评估一个案例研究产品的质量。
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