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A hybrid fuzzy multi-criteria decision making model for selecting a sustainable supplier of forklift filters: a case study from the mining industry

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Supplier selection has long been a strategic cornerstone for the advancement of companies from the mining sector due to its impact on many sectors as inventory management, production planning, maintenance scheduling, financial resources and environment. In this regard, expert decision-makers should deem a number of performance conflicting criteria and supplier alternatives. Moreover, choosing a suitable Multi-Criteria Decision Making (MCDM) approach has become a key strategic consideration for supplier selection. Hence, this paper presents a combination of powerful MCDM methods to select the most suitable supplier of forklift filters. The Fuzzy Analytic Hierarchy Process (FAHP) is first used to calculate the initial weights of criteria and sub-criteria under uncertainty, followed by the implementation of Fuzzy Decision Making Trial and Evaluation Laboratory (FDEMATEL) to assess the interrelations and feedback between them. The fuzzy theory is used in both AHP and DEMATEL methods to represent the human vagueness when making judgments. Then, FAHP and FDEMATEL are combined to obtain the final contributions of both criteria and sub-criteria on the basis of interrelations and uncertainty. Finally, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is used to rank the supplier alternatives. To validate the effectiveness of the proposed framework, a case study is presented. The results evidence that quality criterion is the most crucial aspect when selecting suppliers of forklift filters.
Original languageEnglish
JournalAnnals of Operations Research
Early online date30 Jul 2020
Publication statusEarly online - 30 Jul 2020


  • BARBATI_2020_cright_A Hybrid Fuzzy Multi-criteria Decision Making Model for Selecting a Sustainable Supplier of Forklift Filters

    Rights statement: This is a post-peer-review, pre-copyedit version of an article published in Annals of Operations Research. The final authenticated version is available online at:

    Accepted author manuscript (Post-print), 2.02 MB, PDF document

    Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 30/07/21

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