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Raw material criticality assessment with weighted indicators: An application of fuzzy analytic hierarchy process

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  • Kim, Juhan
  • Lee, Jungbae
  • Kim, BumChoong
  • Kim, Jinsoo

Abstract

This research focuses on the relative weight of indicators in raw material criticality assessment. The weight of the indicators configured for a criticality assessment varies based on the purpose of the evaluation and the stakeholders. That weight also has a significant impact on the assessment results. Consequently, it is essential to derive the weights using a scientific methodology quantitatively. We applied a fuzzy analytic hierarchy process (AHP) to secure a plausible weight for the appraisal of the raw material criticality in Korea. The results indicate that significant changes in the criticality are observed comparing the results from the previous method. We also set up three groups, those are government, industry, and research, to discuss the differences in a stakeholder's perspective. Our results and discussions on the difference in the weights and criticality for each group could help to establish policies to mitigate the raw material criticality.

Suggested Citation

  • Kim, Juhan & Lee, Jungbae & Kim, BumChoong & Kim, Jinsoo, 2019. "Raw material criticality assessment with weighted indicators: An application of fuzzy analytic hierarchy process," Resources Policy, Elsevier, vol. 60(C), pages 225-233.
  • Handle: RePEc:eee:jrpoli:v:60:y:2019:i:c:p:225-233
    DOI: 10.1016/j.resourpol.2019.01.005
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    Cited by:

    1. Agata Mesjasz-Lech & Pál Michelberger, 2019. "Sustainable Waste Logistics and the Development of Trade in Recyclable Raw Materials in Poland and Hungary," Sustainability, MDPI, Open Access Journal, vol. 11(15), pages 1-17, August.
    2. Vakulchuk, Roman & Overland, Indra & Scholten, Daniel, 2020. "Renewable energy and geopolitics: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 122(C).
    3. BumChoong Kim & Juhan Kim & Jinsoo Kim, 2019. "Evaluation Model for Investment in Solar Photovoltaic Power Generation Using Fuzzy Analytic Hierarchy Process," Sustainability, MDPI, Open Access Journal, vol. 11(10), pages 1-23, May.

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