Supplier sustainability performance evaluation and selection: a framework and methodology

Sharfuddin Ahmed Khan, Simonov Kusi-Sarpong, Francis Kow Arhin, Horsten Kusi-Sarpong

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    Abstract

    This study proposes a supplier sustainability performance evaluation framework for evaluating and selecting suppliers based on their sustainability performance. An integrated model which uses fuzzy-Shannon Entropy to determine the sustainability criteria weights and fuzzy-Inference system to prioritize suppliers from the individual sustainability dimensions perspective is proposed to aid in the evaluation and selection. A Pakistan manufacturing company is used to exemplify the applicability and usefulness of the proposed suppliers' sustainability performance evaluation decision framework. The results show that amongst the economic, environmental and social sustainability dimensions, three criteria, namely: ‘Quality’ (10.87%), ‘Cleaner Technology Implementation’ (11.51%) and ‘Information Disclosure’ (13.75%), respectively, are the topmost ranked criteria. Across the triple-sustainability dimensions, suppliers 3 was ranked the topmost suppliers overall. This means that, to improve the sustainability of the company's supply chain, supplier 3 is most appropriate and recommended amongst the four suppliers for partnership. Managerial implications, limitations and further research directions are discussed.
    Original languageEnglish
    Pages (from-to)964-979
    Number of pages16
    JournalJournal of Cleaner Production
    Volume205
    Early online date19 Sep 2018
    DOIs
    Publication statusPublished - 20 Dec 2018

    Keywords

    • Sustainability
    • Sustainable supplier performance evaluation
    • Sustainable supplier selection
    • Fuzzy Shannon entropy
    • Fuzzy inference system

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