DECISION SUPPORT FRAMEWORK USING KNOWLEDGE BASED DIGITAL TWIN FOR SUSTAINABLE PRODUCT DEVELOPMENT AND END OF LIFE - Université de technologie de Compiègne Access content directly
Conference Papers Year : 2023

DECISION SUPPORT FRAMEWORK USING KNOWLEDGE BASED DIGITAL TWIN FOR SUSTAINABLE PRODUCT DEVELOPMENT AND END OF LIFE

Abstract

Abstract In order to have a sustainable disassembly process, a successful decision-making based on reliable and up-to-date information should be made while taking into consideration sustainability indicators. In this context, The aim of this paper is to introduce a decision support system based on knowledge based and digital twin in order to help stakeholders to choose the most sustainable disassembly scenario .In this research, firstly, we presented the state of art of disassembly process, digital twin, knowledge based system and the merging of knowledge based system and digital twin for disassembly. Secondly, we presented the knowledge based digital twin (KBDTw) system framework for a sustainable disassembly process. Thirdly, a case study is presented about the use of KBDTw in the end-of-life of internet boxes. Finally, a conclusion and future work are conducted.

Dates and versions

hal-04280620 , version 1 (11-11-2023)

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Chorouk Mouflih, Raoudha Gaha, Alexandre Durupt, Magali Bosch-Mauchand, Kristian Martinsen, et al.. DECISION SUPPORT FRAMEWORK USING KNOWLEDGE BASED DIGITAL TWIN FOR SUSTAINABLE PRODUCT DEVELOPMENT AND END OF LIFE. 24th International Conference on Engineering Design - ICED 2023, Jul 2023, Bordeaux, France. pp.1157-1166, ⟨10.1017/pds.2023.116⟩. ⟨hal-04280620⟩
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