A hybrid approach to support recovery strategies (A case study)

Abstract A key strategic consideration in the recovery system of any product is to make accurate decisions on reverse manufacturing alternatives including both recovery and disposal options. The nature of such decisions is complex due to the uncertainty that exists in the quality of the product returns and the lack of information on them. Consequently, the need for the correct diagnosis of recovery/disposal options for the returned products necessitates the development of a comprehensive model that gives consideration to all general and specific parameters. Finding the best recovery strategies is based on both the product and the recovery process properties. This study therefore presents a new integrated approach, focusing on brown goods, based on a fuzzy rule-based system and fuzzy AHP to provide a correct and accurate decision-making mechanism for ranking the recovery/disposal strategies by knowledge acquisition for each particular returned product. The presented model considers the products' properties and the recovery/disposal processes' properties separately in two phases. To achieve the objective of this study, the proposed model is used to analyze a case study of mobile phone returns, to support recovery strategies of returns by correct decisions on recovery options which leads to reduce human errors, wastes and the costs of recovery process.

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