The research project focuses on the evaluation of Data Analytics and Decentralized Ledger Technologies (DLT) / Blockchain methods to address information asymmetries and inefficiencies in business processes for the use of spare parts. The evaluation is carried out from the perspective of a Maintenance Repair and Overhaul (MRO) company in the aerospace industry. The industry is characterized by non-transparent transactions in the handling, repair and trade of spare parts. Due to mutual distrust in the industry, there is a lack of uniform platforms for the exchange of information.
Aircraft spare parts serve the rapid exchange of defective parts and ideally avoid expensive aircraft-on-ground situations. Understanding the fair market value of the surplus parts is of eminent importance for a company's competitive advantage. Decisions such as purchase, sale, storage or scrapping are made on the basis of the determined value. Domain experts state that the value of a part depends significantly on its specific characteristics, condition and workshop event history. If the proof of this history is incomplete, a complete loss of value of the part can occur, since safety-relevant parts, for example, may no longer be used without complete proof.
Two core problems can be derived from this context:
These problems are addressed in the publications.