A Q-Learning Based Selective Disassembly Planning Service in the Cloud Based Remanufacturing System for WEEE

Kai Xia, Liang Gao, Weidong Li, Lihui Wang, Kuo-Ming Chao

    Research output: Chapter in Book/Report/Conference proceedingChapter

    6 Citations (Scopus)

    Abstract

    Cloud based approach for remanufacturing is becoming a new technical solution for sustainable management of Waste Electrical and Electronic Equipment (WEEE). This paper presents a service-oriented framework of a Cloud Based Remanufacturing System (CBRS) for WEEE. In remanufacturing of WEEE, disassembly plays an important role. However, complete disassembly is rarely an ideal solution due to the high disassembly cost, with the increasing customization and diversity, and more complex assembly processes of Electrical and Electronic Equipment (EEE). Selective disassembly focusing on disassembling only a few selected components is a better choice. In this paper, a Q-Learning based Selective Disassembly Planning (QL-SDP) approach embedded with a multi-criteria decision making model is developed. The multi-criteria decision making model is built according to the legislative and economic considerations of specific stakeholders of WEEE. And the QL-SDP approach is used to achieve optimized selective disassembly planning. An implementation example has been used to verify and demonstrate the effectiveness and robustness of the approach. The developed QL-SDP approach is designed as a service implemented in the presented CBRS for WEEE.
    Original languageEnglish
    Title of host publicationASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference
    PublisherASME
    VolumeVolume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing
    ISBN (Print)978-0-7918-4580-6
    DOIs
    Publication statusPublished - 2014

    Bibliographical note

    This conference paper is not available on the repository. The paper was given at the ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference; Detroit; United States; 9 June 2014 through 13 June 2014

    Ministry of Science and Technology

    Keywords

    • Cloud based remanufacturing
    • Q-Learning
    • Remanufacturing services
    • Selective disassembly planning
    • Waste electrical and electronic equipment (WEEE)

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  • Cite this

    Xia, K., Gao, L., Li, W., Wang, L., & Chao, K-M. (2014). A Q-Learning Based Selective Disassembly Planning Service in the Cloud Based Remanufacturing System for WEEE. In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference (Vol. Volume 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing). [V001T04A012] ASME. https://doi.org/10.1115/MSEC2014-4008