Level: MA
Responsible Person: Dr. Sina Rafati Niya
Keywords: Supply Chain, Statistical Analytics, Fraud detection

Globalization shaped our markets and the world that we live in today as nothing ever else has. New opportunities presented themselves, remote markets got opened up and supply chains got more complex. With increased complexity came several challenges, such as motivation for exploitation, costs for trusting parties, and abuse of market power, which needed and still need to be tackled. The introduction of the Blockchain technology in 2008 made a step in this direction, such as immutability and higher security, which can be profited from, to build a more secure Supply Chain. Tete-de-Moine a Swiss cheese producer, the University of Zurich, Fromarte, and Agroscope found a similar need to bring more trust along the value chain of its production. Accordingly, a Proof of Concept, for a part of the overall CheeseChain project was established in https://files.ifi.uzh.ch/CSG/staff/scheid/extern/theses/BA-D-Diener.pdf. The implemented solution mirrors the database from the Digital Quality Management System of Fromarte on the host and pushes relevant information onto a private blockchain. With an API, combining the Blockchain and the host, the integrity of the files in the database can be assured.

As a next step, this thesis will focus on specifying the data to be collected, and employing statistical models to analyse the possibility of counterfeits in such a supply chain. Therefore, a thorough review of the related work is needed before modeling the supply chain and collecting the data in real world.

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