Development of an AHP–CBR evaluation system for remanufacturing: end-of-life selection strategy

Zakri Ghazalli · Atsuo Murata

52 citations0/0 files storedInternational Journal of Sustainable Engineering

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Sustainable Supply Chain Management Multi-Criteria Decision Making Manufacturing Process and Optimization

Abstract

This paper presents our research works on developing an evaluation system for remanufacturing. This paper has two objectives. The first objective is to evaluate the product end-of-life (EOL) by integrating an analytical hierarchy process (AHP) with case-based reasoning (CBR). The nearest neighbourhood (NN) algorithm was used to retrieve a past case that is closest to the current case under consideration. The AHP, which allows the pair-wise comparison and consistency judgement, was used to determine the weight in NN. The second objective is to evaluate EOL of parts and components. The integration of an economical cost model and an environmental cost model was used to determine the EOL of parts and components. An example is presented and discussed. The predicted results of the complete method were compared with those of the previous study. The results showed that the integration of the AHP–CBR method has reached a good correspondence with the established methods.

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References

1994How to Make a Decision: The Analytic Hierarchy Process 2009Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art 2002A case-based reasoning with the feature weights derived by analytic hierarchy process for bankruptcy prediction 2001A Multi-Objective Methodology for Evaluating Product End-of-Life Options and Disassembly 2010Hybridizing principles of TOPSIS with case-based reasoning for business failure prediction 2007A multi-objective evolutionary algorithm for EOL product recovery optimization: turbocharger case study 2001The cluster-indexing method for case-based reasoning using self-organizing maps and learning vector quantization for bond rating cases 2004Multicriteria decision-aid approach for product end-of-life alternative selection

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2019A data-driven based decomposition–integration method for remanufacturing cost prediction of end-of-life products 2012A quality evaluation model of reuse parts and its management system development for end-of-life wheel loaders 2020Smart recovery decision-making for end-of-life products in the context of ubiquitous information and computational intelligence 2020Remanufacturability evaluation method and application for used engineering machinery parts based on fuzzy-EAHP

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