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    ARTICLE

    Automated Disassembly Sequence Prediction for Industry 4.0 Using Enhanced Genetic Algorithm

    Anil Kumar Gulivindala1, M. V. A. Raju Bahubalendruni1, R. Chandrasekar1,2, Ejaz Ahmed2, Mustufa Haider Abidi3,*, Abdulrahman Al-Ahmari4

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 2531-2548, 2021, DOI:10.32604/cmc.2021.018014

    Abstract The evolution of Industry 4.0 made it essential to adopt the Internet of Things (IoT) and Cloud Computing (CC) technologies to perform activities in the new age of manufacturing. These technologies enable collecting, storing, and retrieving essential information from the manufacturing stage. Data collected at sites are shared with others where execution automatedly occurs. The obtained information must be validated at manufacturing to avoid undesirable data losses during the de-manufacturing process. However, information sharing from the assembly level at the manufacturing stage to disassembly at the product end-of-life state is a major concern. The current research validates the information optimally… More >

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