Choice of Take-Back Models for the End-of-Life Electromechanical Products Based on Fuzzy Analytic Network Process Method
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

Research Paper | Mechanical Engineering | China | Volume 5 Issue 3, March 2016

Choice of Take-Back Models for the End-of-Life Electromechanical Products Based on Fuzzy Analytic Network Process Method

Liu Wenjie, Liu Xiaojun, Wang Yanling

When choosing take-back models for End-of-Life electromechanical products, we shall have to face a complex situation. It is necessary for us to consider the network relationships with interaction and feedback between different types of evaluation indices, such as economic index, technical index, social index, etc, and to deal with the problem of strong fuzziness while experts judging the relative importance of different indices. In order to solve the above problems, an evaluation index system for take-back model choosing is established firstly, which is comprised of the indices of economic performance, social & ecological benefits, technical performance and enterprise development strategy. It fully reflects the network relationship of different evaluation indices. Secondly, a Fuzzy Analytic Network Process model is put forwarded to implement the choice of take-back models, using the fuzzy comprehensive evaluation to overcome the fuzziness of the expert evaluation, adopting Analytic Network Process to analyze the network relationship between the indices. Finally, a take-back case for the used car engine is taken to verify the feasibility and validity of the model.

Keywords: Fuzzy Analytic Network Process, End-of-Life Electromechanical Products, Super matrix, Take-back Models

Edition: Volume 5 Issue 3, March 2016

Pages: 1330 - 1340

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How to Cite this Article?

Liu Wenjie, Liu Xiaojun, Wang Yanling, "Choice of Take-Back Models for the End-of-Life Electromechanical Products Based on Fuzzy Analytic Network Process Method", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV162049, Volume 5 Issue 3, March 2016, 1330 - 1340

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