Abstract
The recent advances in sustainable supply chain management are integrated with Industry 4.0 concepts. This study develops a new integrated model to consider the sustainability and Industry 4.0 criteria for the supplier selection management. The proposed approach consists of the fuzzy best worst method (FBWM) and the two-stage fuzzy inference system (FIS) to assess the selection of suppliers. Firstly, this study determines a comprehensive list of Industry 4.0 and sustainability criteria along with their definitions. Then, the importance weight of each criterion is computed by the FBWM. Subsequently, a two-stage FIS is devoted to nominate the suppliers’ performance with regard to the sustainability and Industry 4.0 criteria. To show the applicability of our integrated model, a case study for a textile company in Iran is provided. Finally, some sensitivity analyses are done to assess the efficiency of the proposed integrated approach. One finding is to establish a decision-making framework to evaluate suppliers separately, rather than relatively in a fuzzy environment using Industry 4.0 and sustainability criteria.
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Notes
Gross domestic product (GDP).
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Acknowledgements
The first, second, and third authors are grateful to the financial support from the Universiti Teknologi Malaysia (UTM) (Vote Number: 20H69).
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A. Fallahpour: Formal analysis; investigation; methodology; software; validation; original draft; visualization.
K. Y. Wong: Original draft; project administration.
S. Rajoo: Original draft; project administration.
A. M. Fathollahi-Fard: Conceptualization; investigation; supervision; review and editing.
J. Antucheviciene: Review and editing.
S. Nayeri: Review and editing.
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Fallahpour, A., Wong, K.Y., Rajoo, S. et al. An integrated approach for a sustainable supplier selection based on Industry 4.0 concept. Environ Sci Pollut Res (2021). https://doi.org/10.1007/s11356-021-17445-y
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DOI: https://doi.org/10.1007/s11356-021-17445-y