A Fuzzy Expert System for Supporting Returned Products Strategies
DOI:
https://doi.org/10.23055/ijietap.2015.22.2.1382Keywords:
fuzzy inference system, returns, returns strategiesAbstract
A key strategic consideration in the recovery system of any product is to make proper decisions on reverse manufacturing
alternatives including both recovery and disposal options. The nature of such decisions is complex due to the uncertainty
existing in the quality of the product returns and lack of information about the product. Consequently, the need of correct diagnosis of recovery/ disposal options for the returned products necessitates the development of a comprehensive model considering all technical and non-technical parameters. Although human experts with the aid of practical experience may handle such complex problems, this procedure is time consuming and may lead to imprecise decisions. This study presents a fuzzy rule-based system to provide a correct decision mechanism for ranking the recovery/disposal strategies by
knowledge acquisition through a simple reverse supply chain with a collection center for each particular returned product.
The proposed system has applications with a focus on brown goods, although the system may be applied to other similar
kinds of products through some changes. To achieve the objective of this study, the proposed model is used to analyze a
case of mobile phone, ending up in coherent results.
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