Automating the modeling of blockchain based supply chain tracing systems: the *-chain framework

Supply chain management (SCM) systems are a crucial element for the success of modern business processes, especially in a globalized market where traceability and transparency become increasingly relevant aspects. In this thesis, we introduce an innovative SCM system framework, called "*-chain," which exploits distributed ledger technology (DLT) to solve traditional issues related to product traceability and transaction security. Through the use of blockchain, and in particular the Ethereum platform, the system enables not only the efficient design and implementation of supply chains but also the automated creation and deployment of smart contracts. These smart contracts are essential for automating and verifying transactions across the supply chain. In the SCM context, the use of blockchain allows for the tracking of every modification and transaction of a good throughout the supply chain steps, ensuring that information regarding origin, processing, and distribution is always accessible and verified. The framework proposed in this thesis allows users to design and implement supply chain management systems in a visual and intuitive way. The design process begins with defining the various assets involved in the production of goods, which include not only physical products but also various types of operations. Actors within the supply chain, such as suppliers, manufacturers, distributors, and retailers, are also defined. The framework provides a web-integrated graphical user interface to visually map the flows of assets and operations between these actors. Additionally, the framework is tested on two use cases, demonstrating its versatility and effectiveness in real-world scenarios.