Decision Support Framework Using Knowledge Based Digital Twin for Sustainable Product Development and End of Life

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.

Selecting sustainability indicators for smart product design based on industry 4.0/5.0 technologies: analysis and proposal of a methodological framework

“…This article focuses on the design of smart products, emphasizing the integration of sustainability into product development processes. Hence, designers and manufacturers can benefit from the digital technologies within the I4.0, such as Virtual Reality (VR), Augmented Reality (AR), Digital twin (DT) or Robotics, which can be important enablers for industrial sustainability (Gaha et al, 2021;Mouflih et al, 2023). The Digital Thread (DTH) facilitates centralized data, information, and knowledge sharing, enabling a faster and cost-effective design process (Gaha et al, 2014;Marconnet et al, 2017;Pang et al, 2021).…”