Improving the Sustainability of Manufactured Products: Literature Review and Challenges for Digitalization of Disassembly and Dismantling Processes

Mouflih, Chorouk; Gaha, Raoudha; Bosch, Magali; Durupt, Alexandre

doi:10.1007/978-3-031-25182-5_61

Cited by 3 publications

(1 citation statement)

References 35 publications

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“…(Abdullah, Popplewell and Page, 2003) and the difficulty in obtaining accurate product life cycle information once remanufacturers receive the return products (Parlikad and McFarlane, 2007). It is very important to explore new ways to make both disassembly and environmental information available to the decision makers so that they can take the necessary decisions to have the most sustainable disassembly process of end of life (EoL) products (Mouflih et al, 2022). Therefore and due to the characteristics of the knowledge based system in terms of knowledge storage and the functionalities of the digital twin (DTw) to ensure the digital continuity between the different entities in real time, the use of both of these technologies can be very helpful withing the framework of decision making of the disassembly process of EoL products.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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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.

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Section: Introductionmentioning

confidence: 99%

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

et al. 2023

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Data-Driven Approach for Decision-Making in Reactive Disassembly Planning to Enable Case-Based Reasoning

Streibel,

Jordan,

Zaeh

2024

Procedia CIRP

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A comprehensive review on human–robot collaboration remanufacturing towards uncertain and dynamic disassembly

Xiao,

Huang

2024

Manufacturing Rev.

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With the continuously increasing volumes of End-of-Life (EOL) products and the emergence of Industry 4.0-related technologies, the manual labor-intensive disassembly in remanufacturing process is gradually shifting towards human–robot collaboration (HRC) disassembly. However, it is necessary to consider the most commonly approach in current robot-involved automatic disassembly with the high efficiency and adaptability. The purpose of this paper is to summarize the existing human–robot collaboration disassembly technologies to further discuss the possible applications of various technologies in the disassembly process, thereby providing the comprehensive reviews of future research directions. The paper presents an analysis of the technical issues encountered in the HRC disassembly process, which provides a summary of the intelligent disassembly platform with robot agents as the core, focusing on the optimization of HRC disassembly. Furthermore, the relevant technologies are reviewed to discuss the intelligent disassembly systems, including Cyber-Physical systems (CPS), Internet of Things (IoT), Cloud Computing, Artificial Intelligence (AI), and Digital Twins (DT). The industrial applications of various optimization methods have discussed the potential research trends in the collaboration of multiple robots and humans in disassembly with the perspectives of task allocation, collaborative decision-making, and performance evaluation, focusing on the application trends of digital twin technology in industrial disassembly lines.

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Improving the Sustainability of Manufactured Products: Literature Review and Challenges for Digitalization of Disassembly and Dismantling Processes

Cited by 3 publications

References 35 publications

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

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

Data-Driven Approach for Decision-Making in Reactive Disassembly Planning to Enable Case-Based Reasoning

A comprehensive review on human–robot collaboration remanufacturing towards uncertain and dynamic disassembly

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