An Ontology-Based Product Modelling Method for Smart Remanufacturing

Youxi Hu, Chao Liu, Ming Zhang, Yuqian Lu, Yu Jia, Yuchun Xu

Research output: Chapter in Book/Published conference outputConference publication


Remanufacturing is widely recognized as a sustainable manufacturing paradigm that recovers residual value and extends the life cycle of end-of-life (EoL) products through a series of manufacturing processes. However, the uncertain and variable conditions of EoL products can affect decision-making in remanufacturing processes. Furthermore, related information about EOL products is difficult to store and transmit between original equipment manufacturers, end users, and remanufacturers. Currently, there is no standard method for unifying and managing this information. To address this issue, this research proposes an ontology-based product modelling method in a remanufacturing environment, with the goal of developing a standard unified product knowledge base. This knowledge base can be used to store and access information about EOL products, thus supporting decision-making in remanufacturing processes. Establishing an ontology-based product model for remanufacturing poses two challenges. Firstly, it is challenging to establish the EoL product ontology due to uncertainty and variable conditions of EoL products. Secondly, the decision-makings for different remanufacturing processes require distinct domain-specific knowledges, making it challenging to establish a comprehensive product ontology model to support the entire remanufacturing process. To address these challenges, a framework is established to illustrate the implementation and interaction of EoL product ontology with various remanufacturing processes. The EoL product ontology modeling process and rule-based reasoning methods are introduced. Finally, as a case study, a partial EoL product ontology is established for the disassembly process in remanufacturing to validate the proposed approach.
Original languageEnglish
Title of host publication2023 IEEE 19th International Conference on Automation Science and Engineering (CASE)
ISBN (Electronic)9798350320695
Publication statusPublished - 28 Sept 2023
Event19th International Conference on Automation Science and Engineering - Auckland, New Zealand
Duration: 26 Aug 202330 Aug 2023

Publication series

NameCASE Proceedings
ISSN (Electronic)2161-8089


Conference19th International Conference on Automation Science and Engineering
Abbreviated titleCASE 2023
Country/TerritoryNew Zealand


Dive into the research topics of 'An Ontology-Based Product Modelling Method for Smart Remanufacturing'. Together they form a unique fingerprint.

Cite this