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Towards Sustainable Transportation: A Review of Fuzzy Decision Systems and Supply Chain Serviceability

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  • Hadi Jahanshahi

    (Institute of Electrical and Electronics Engineers, Toronto, ON M5V3T9, Canada)

  • Zahra Alijani

    (Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, 701 03 Ostrava, Czech Republic)

  • Sanda Florentina Mihalache

    (Automatic Control, Computers & Electronics Department, Petroleum-Gas University of Ploiești, 100680 Ploiești, Romania)

Abstract

Modern requirements dictate the need for sustainable transportation systems, given the substantial growth in transportation activities over recent years that is predicted to persist. This surge in transportation has brought about environmental concerns such as air pollution and noise. To deal with this crisis, municipal administrations are investing in sustainable, reliable, economical, and environmentally friendly transportation systems. This review examines the latest developments in fuzzy decision systems for sustainable transport supplements. By reviewing the literature, we assess the serviceability of the entire supply chain to maintain transport quality, remove degradation, and meet customer demands. The link between fuzzy decision systems and supply chain serviceability may not be immediately obvious, but there are many reasons why putting them together can be a valuable focus for companies. By leveraging the capabilities of fuzzy decision systems to optimize supply chain processes and improve service levels, companies can gain a competitive advantage and better meet customer demand.

Suggested Citation

  • Hadi Jahanshahi & Zahra Alijani & Sanda Florentina Mihalache, 2023. "Towards Sustainable Transportation: A Review of Fuzzy Decision Systems and Supply Chain Serviceability," Mathematics, MDPI, vol. 11(8), pages 1-19, April.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:8:p:1934-:d:1127871
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    References listed on IDEAS

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