15 research outputs found

    An integrated fuzzy approach for evaluating remanufacturing alternatives of a product design

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    Remanufacturing has emerged as a competitive strategy for manufacturers to tackle environmental and economic challenges. In this paper, an integrated fuzzy approach is developed for the evaluation of remanufacturing alternatives. Then, importance weights of main remanufacturing processes and evaluation criteria are obtained through fuzzy extent analysis. Fuzzy hierarchical TOPSIS is then applied to evaluate the alternatives. A case study is presented to demonstrate the applicability of the proposed approach. The analysis results show that it is a viable approach and can be used as an effective tool for design evaluation from the remanufacturing point of view. Finally, conclusions are discussed and future research directions are suggested

    Bayesian based lifetime prediction for high-power white LEDs

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    202208 bcwwOthersNational Natural Science Foundation of China; The Hong Kong Polytechnic UniversityPublished24 month

    Lumen degradation lifetime prediction for high-power white LEDs based on the gamma process model

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    202002 bcrcVersion of RecordPublishe

    System level reliability assessment for high power light-emitting diode lamp based on a Bayesian network method

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    202208 bcwwOthersNational Natural Science Foundation of China; The Hong Kong Polytechnic UniversityPublished24 month

    Machine learning and digital twin driven diagnostics and prognostics of light-emitting diodes

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    Title on author’s file: Machine Learning and Digital Twin Driven Diagnostics and Prognostics of Light-emitting Diodes: A Review202402 bcchAccepted ManuscriptOthersNational Natural Science Foundation of China; The Hong Kong Polytechnic University; Six Talent Peaks Project in Jiangsu ProvincePublishedGreen (AAM

    Photochemical copper coating on 3D printed thermoplastics

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    2016-2017 > Academic research: refereed > Publication in refereed journal201804_a bcmaVersion of RecordPublishe

    Additive and photochemical manufacturing of copper

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    2016-2017 > Academic research: refereed > Publication in refereed journal201804_a bcmaVersion of RecordPublishe
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