Resilient and sustainable supply chain criteria for performance evaluation: selection and ranking through fuzzy Delphi
Benchmarking: An International Journal
ISSN: 1463-5771
Article publication date: 21 April 2023
Issue publication date: 3 April 2024
Abstract
Purpose
In the supply chain performance measurement (SCPM) there seems to be no consensus about measures for performance evaluation and suitable criteria from resilience and sustainability paradigms. In this way, this research aims to identify the attributes that a supply chain (SC) should follow to be resilient and sustainable, and then to evaluate their importance according to industry experts.
Design/methodology/approach
This study suggests a hybrid approach. The authors identified the most commonly used criteria using literature review, and then applied fuzzy Delphi technique (FDT) with the objective of surveying experts to find the attributes used in practice and asked to assess their relevance.
Findings
The resilient-sustainable supply chain (RSSC) is formed by four dimensions: resiliency, economic, environmental and social. A total of 15 criteria are identified, and the most important are visibility, flexibility, supply chain risk management (SCRM) culture, work conditions and communication.
Research limitations/implications
This study used a literature review, so it is subject to a time frame, and the criteria could no longer be relevant as the time and business conditions change. Also, the findings may not be completely applicable throughout different industries, and therefore the finding cannot be replicated to other businesses.
Practical implications
This study will assist decision-makers among other interested parties to construct and/or strengthen an integrated SC that mixes resiliency and sustainability.
Originality/value
This study contributes to the state-of-art by producing a characterization of the resilient and sustainable supply chain for the automotive industry. Also, this research produces a new and holistic framework for resilient and sustainable SCPM supporting the decision-making process.
Keywords
Acknowledgements
The authors are grateful to the experts who provided their valuable contributions at various stages of the study and to the anonymous reviewers for their valuable insights that improved this paper to a great extent. This research was funded by Consejo Nacional de Ciencia y Tecnología, México. Grant number: 755873.
Erratum: It has come to the attention of the publisher that the article, Torres Vergara, J.I., Saucedo Martínez, J.A. and Olivo Lucio, D. (2023), “Resilient and sustainable supply chain criteria for performance evaluation: selection and ranking through fuzzy Delphi”, Benchmarking: An International Journal, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/BIJ-05-2022-0283, that additional text was inserted in the purpose section of the abstract. This error was introduced in the typesetting process. The publisher sincerely apologises for this error and for any inconvenience caused.
Citation
Torres Vergara, J.I., Saucedo Martínez, J.A. and Olivo Lucio, D. (2024), "Resilient and sustainable supply chain criteria for performance evaluation: selection and ranking through fuzzy Delphi", Benchmarking: An International Journal, Vol. 31 No. 3, pp. 799-823. https://doi.org/10.1108/BIJ-05-2022-0283
Publisher
:Emerald Publishing Limited
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