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A Novel MDCM Approach for Sustainable Supplier Selection in Healthcare System in the Era of Logistics 4.0

Author

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  • Esra Boz

    (Department of Industrial Engineering, Faculty of Engineering and Natural Sciences, KTO Karatay University, Konya 42020, Turkey)

  • Sinan Çizmecioğlu

    (Department of Transportation Services, Vocational School of Trade and Industry, KTO Karatay University, Konya 42020, Turkey)

  • Ahmet Çalık

    (Department of International Trade and Logistics, Faculty of Economics and Administrative Sciences, KTO Karatay University, Konya 42020, Turkey)

Abstract

The COVID-19 pandemic has led to major disruptions in workflows across all industries. All sectors are trying to sustain operations during this extremely difficult time and the healthcare sector is the most important of them. It is unthinkable to stop the operations of the health system because it serves human life. Health institutions must supply the products such as masks, gloves, and ventilators subject to service on time for certain activities to continue indefinitely under all conditions. By adopting modern logistics activities and technologies, healthcare organizations can provide sustainable diagnosis and treatments to patients by automating their various operations. With the COVID-19 pandemic, how to select an appropriate sustainable supplier has become an important task in the era of Logistics 4.0. From this viewpoint, a sustainable supplier selection framework is implemented for a health institution under the effect of the pandemic. To determine the direct effects of the pandemic in the health sector, fuzzy Multi-Criteria Decision-Making (MCDM) methods are utilized in the application. After a thorough review of the literature and interviews with experts, the criteria are organized in a comprehensive hierarchical structure. The fuzzy Best-Worst Method (F-BWM) technique is employed to find the weights for the determined criteria. Consequently, the fuzzy Additive Ratio Assessment Method (F-ARAS) method was applied to rank the alternative suppliers. In addition, with a comprehensive sensitivity analysis, alternative situations are examined against possible breaks in the supply chain. Thus, from the perspective of Logistics 4.0 and sustainability, this study contributes to the literature with an analysis of the health system’s survival in difficult and fragile periods, such as COVID-19. Investigating the importance of SSS can be a road map for the policymakers and the decision-makers is beneficial since the impact of COVID-19 on SSS is studied from the perspective of Logistics 4.0.

Suggested Citation

  • Esra Boz & Sinan Çizmecioğlu & Ahmet Çalık, 2022. "A Novel MDCM Approach for Sustainable Supplier Selection in Healthcare System in the Era of Logistics 4.0," Sustainability, MDPI, vol. 14(21), pages 1-19, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13839-:d:952559
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    References listed on IDEAS

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    1. Amir Hossein Azadnia & Muhamad Zameri Mat Saman & Kuan Yew Wong, 2015. "Sustainable supplier selection and order lot-sizing: an integrated multi-objective decision-making process," International Journal of Production Research, Taylor & Francis Journals, vol. 53(2), pages 383-408, January.
    2. Sarkis, Joseph & Dhavale, Dileep G., 2015. "Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework," International Journal of Production Economics, Elsevier, vol. 166(C), pages 177-191.
    3. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    4. Min, Hokey, 2019. "Blockchain technology for enhancing supply chain resilience," Business Horizons, Elsevier, vol. 62(1), pages 35-45.
    5. Linder, Christian & Seidenstricker, Sven, 2018. "How does a component from a supplier with high reputation for product innovation improve the perception of a final offering? A process perspective," European Management Journal, Elsevier, vol. 36(2), pages 288-299.
    6. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Manisha Tiwari & Yogesh Dwivedi & Sarah Schiffling, 2021. "An investigation of information alignment and collaboration as complements to supply chain agility in humanitarian supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 59(5), pages 1586-1605, March.
    7. Mani, Venkatesh & Gunasekaran, Angappa & Delgado, Catarina, 2018. "Enhancing supply chain performance through supplier social sustainability: An emerging economy perspective," International Journal of Production Economics, Elsevier, vol. 195(C), pages 259-272.
    8. Chih-Lung Lin & James K. C. Chen & Han-Hsi Ho, 2021. "BIM for Smart Hospital Management during COVID-19 Using MCDM," Sustainability, MDPI, vol. 13(11), pages 1-18, May.
    9. Jadhav, Akshay & Orr, Stuart & Malik, Mohsin, 2019. "The role of supply chain orientation in achieving supply chain sustainability," International Journal of Production Economics, Elsevier, vol. 217(C), pages 112-125.
    10. Hwarng, H. Brian & Xie, Na, 2008. "Understanding supply chain dynamics: A chaos perspective," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1163-1178, February.
    11. Agnieszka Szmelter-Jarosz & Javid Ghahremani-Nahr & Hamed Nozari, 2021. "A Neutrosophic Fuzzy Optimisation Model for Optimal Sustainable Closed-Loop Supply Chain Network during COVID-19," JRFM, MDPI, vol. 14(11), pages 1-22, November.
    12. Manoj Hudnurkar & Suhas Suresh Ambekar, 2019. "Framework for measurement of supplier satisfaction," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 68(8), pages 1475-1492, June.
    13. Dmitry Ivanov & Alexandre Dolgui, 2020. "Viability of intertwined supply networks: extending the supply chain resilience angles towards survivability. A position paper motivated by COVID-19 outbreak," International Journal of Production Research, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
    14. Li, Lei & Zabinsky, Zelda B., 2011. "Incorporating uncertainty into a supplier selection problem," International Journal of Production Economics, Elsevier, vol. 134(2), pages 344-356, December.
    15. Awasthi, Anjali & Govindan, Kannan & Gold, Stefan, 2018. "Multi-tier sustainable global supplier selection using a fuzzy AHP-VIKOR based approach," International Journal of Production Economics, Elsevier, vol. 195(C), pages 106-117.
    16. Farahani, Reza Zanjirani & Rezapour, Shabnam & Drezner, Tammy & Fallah, Samira, 2014. "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, Elsevier, vol. 45(C), pages 92-118.
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