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A robust reverse pharmaceutical supply chain design considering perishability and sustainable development objectives

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  • Fatemeh Shekoohi Tolgari

    (Shiraz University of Technology)

  • Naeme Zarrinpoor

    (Shiraz University of Technology)

Abstract

The pharmaceutical supply chain (PSC) is a highly important strategic issue in the healthcare domain because of its significant effect on human wellbeing and healthcare costs. This paper provides a mathematical optimization model to design a PSC by considering the drug's corruption. Given the importance of the sustainable development goals, three objectives are considered: economic, social, and environmental. The cost of fixed installation, transportation, holding, collection, distribution, recycling and disposal is reduced by the economic objective. A reduction in greenhouse gas emissions, water use, and nonrenewable energy consumption is achieved by the environmental objective. Based on the social objective, the number of employment opportunities, economic growth, job satisfaction, and national self-sufficiency are all increased, while the number of days lost due to work-related accidents decreases. To achieve the weight of elements in environmental and social objectives, the fuzzy best–worst method is used. Due to the inherent uncertainty in the PSC, its main parameters are referred to as unpredictable, which calls for a robust optimization approach to eliminate the model parameters’ uncertainty. A fuzzy programming approach is used to solve the developed model. Numerical evidence drawn from a practical case shows that the suggested model is efficacious and valid. We suggest that the priorities and challenges of sustainable growth contribute to the determination of the PSC’s managerial and operational characteristics.

Suggested Citation

  • Fatemeh Shekoohi Tolgari & Naeme Zarrinpoor, 2024. "A robust reverse pharmaceutical supply chain design considering perishability and sustainable development objectives," Annals of Operations Research, Springer, vol. 340(2), pages 981-1033, September.
  • Handle: RePEc:spr:annopr:v:340:y:2024:i:2:d:10.1007_s10479-024-05871-3
    DOI: 10.1007/s10479-024-05871-3
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    References listed on IDEAS

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    1. Markus Hartikainen & Kaisa Miettinen & Margaret Wiecek, 2012. "PAINT: Pareto front interpolation for nonlinear multiobjective optimization," Computational Optimization and Applications, Springer, vol. 52(3), pages 845-867, July.
    2. Weraikat, Dua & Zanjani, Masoumeh Kazemi & Lehoux, Nadia, 2016. "Two-echelon pharmaceutical reverse supply chain coordination with customers incentives," International Journal of Production Economics, Elsevier, vol. 176(C), pages 41-52.
    3. Meisam Nasrollahi & Jafar Razmi, 2021. "A mathematical model for designing an integrated pharmaceutical supply chain with maximum expected coverage under uncertainty," Operational Research, Springer, vol. 21(1), pages 525-552, March.
    4. Ata Allah Taleizadeh & Elham Haji-Sami & Mahsa Noori-daryan, 2020. "A robust optimization model for coordinating pharmaceutical reverse supply chains under return strategies," Annals of Operations Research, Springer, vol. 291(1), pages 875-896, August.
    5. Yasanur Kayikci & Nazlican Gozacan‐Chase & Abderahman Rejeb & Kaliyan Mathiyazhagan, 2022. "Critical success factors for implementing blockchain‐based circular supply chain," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 3595-3615, November.
    6. Tautenhain, Camila P.S. & Barbosa-Povoa, Ana Paula & Mota, Bruna & Nascimento, Mariá C.V., 2021. "An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem," European Journal of Operational Research, Elsevier, vol. 294(1), pages 70-90.
    7. Hansen, Klaus Reinholdt Nyhuus & Grunow, Martin, 2015. "Planning operations before market launch for balancing time-to-market and risks in pharmaceutical supply chains," International Journal of Production Economics, Elsevier, vol. 161(C), pages 129-139.
    8. Sujeet Kumar Singh & Mark Goh, 2019. "Multi-objective mixed integer programming and an application in a pharmaceutical supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 57(4), pages 1214-1237, February.
    9. Chen, Xu & Yang, Huan & Wang, Xiaojun, 2019. "Effects of price cap regulation on the pharmaceutical supply chain," Journal of Business Research, Elsevier, vol. 97(C), pages 281-290.
    10. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    11. Shiva Zandkarimkhani & Hassan Mina & Mehdi Biuki & Kannan Govindan, 2020. "A chance constrained fuzzy goal programming approach for perishable pharmaceutical supply chain network design," Annals of Operations Research, Springer, vol. 295(1), pages 425-452, December.
    12. M. Boronoos & M. Mousazadeh & S. Ali Torabi, 2021. "A robust mixed flexible-possibilistic programming approach for multi-objective closed-loop green supply chain network design," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3368-3395, March.
    13. Jimenez, Mariano & Arenas, Mar & Bilbao, Amelia & Rodri'guez, M. Victoria, 2007. "Linear programming with fuzzy parameters: An interactive method resolution," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1599-1609, March.
    14. Volha Yakavenka & Ioannis Mallidis & Dimitrios Vlachos & Eleftherios Iakovou & Zafeiriou Eleni, 2020. "Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products," Annals of Operations Research, Springer, vol. 294(1), pages 593-621, November.
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