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A multi-objective optimization approach for resource allocation and transportation planning in institutional quarantine centres

Author

Listed:
  • Saptadeep Biswas

    (National Institute of Technology Agartala)

  • Prasad Belamkar

    (National Institute of Technology Agartala)

  • Deepshikha Sarma

    (Arya Vidyapeeth College)

  • Erfan Babaee Tirkolaee

    (Istinye University
    Yuan Ze University
    Middle East University)

  • Uttam Kumar Bera

    (National Institute of Technology Agartala)

Abstract

The COVID-19 pandemic has profoundly impacted global logistics and supply chains, resulting in widespread disruptions due to outbreaks, labour shortages, and geopolitical risks. These challenges have cascaded into substantial disturbances within supply chains, sparking global inflation. In response to these urgent issues, this study presents a robust mathematical model to optimize resource allocation and logistics within COVID-19 quarantine centres (QCs). The primary objectives of this model are twofold: first, to minimize costs, and second, to ensure the efficient delivery of patient care. It considers various critical constraints, including facility capacity, patient arrivals, and resource utilization. This holistic framework is designed to tackle the intricate challenges of managing QCs during the pandemic. This study extends its focus beyond the fundamentals of quarantine centre management by prioritizing the reduction of carbon emissions in transportation. A dedicated transportation plan has been developed to simultaneously lower costs and save time, contributing to the overall efficiency of the logistics process. The multifaceted objective functions considered in the model encompass procurement, labour, transportation costs, setup, management, and food provisioning. To strike a balanced compromise among these diverse objectives, the study leverages a range of optimization techniques. These include the Weighted Average Method (WAM), Epsilon Constraint Method (ECM), Goal Programming Approach (GPA), Interactive Fuzzy Satisfying Technique (IFST), Weighted Tchebychef Metrics Programming (WTMP), Global Criterion Method (GCM), Neutrosophic Fuzzy Linear Programming Approach (NFLPA), Spherical Fuzzy Linear Programming Approach (SFLPA), and Non-dominated Sorting Genetic Algorithm (NSGA-II). By adopting this comprehensive approach, the study aims to bolster the resilience of global supply chains, ensure the effective allocation of resources during the COVID-19 pandemic, and significantly reduce carbon emissions, thus contributing to a more sustainable and secure future.

Suggested Citation

  • Saptadeep Biswas & Prasad Belamkar & Deepshikha Sarma & Erfan Babaee Tirkolaee & Uttam Kumar Bera, 2025. "A multi-objective optimization approach for resource allocation and transportation planning in institutional quarantine centres," Annals of Operations Research, Springer, vol. 346(2), pages 781-825, March.
  • Handle: RePEc:spr:annopr:v:346:y:2025:i:2:d:10.1007_s10479-024-06072-8
    DOI: 10.1007/s10479-024-06072-8
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    1. Amin Eshkiti & Fatemeh Sabouhi & Ali Bozorgi-Amiri, 2023. "A data-driven optimization model to response to COVID-19 pandemic: a case study," Annals of Operations Research, Springer, vol. 328(1), pages 337-386, September.
    2. Raj, Alok & Mukherjee, Abheek Anjan & de Sousa Jabbour, Ana Beatriz Lopes & Srivastava, Samir K., 2022. "Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned," Journal of Business Research, Elsevier, vol. 142(C), pages 1125-1139.
    3. K. Karunathilake, 2021. "Positive and negative impacts of COVID-19, an analysis with special reference to challenges on the supply chain in South Asian countries," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 23(3), pages 568-581, December.
    4. Ubaid Illahi & Mohammad Shafi Mir, 2021. "Maintaining efficient logistics and supply chain management operations during and after coronavirus (COVID-19) pandemic: learning from the past experiences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(8), pages 11157-11178, August.
    5. Shaw, Lipika & Das, Soumen Kumar & Roy, Sankar Kumar, 2022. "Location-allocation problem for resource distribution under uncertainty in disaster relief operations," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    6. Alok Raj & Abheek Anjan Mukherjee & Ana Beatriz Lopes de Sousa Jabbour & Samir K. Srivastava, 2022. "Supply chain management during and post-COVID-19 pandemic: Mitigation strategies and practical lessons learned," Post-Print hal-04275089, HAL.
    7. Abhijit Baidya & Uttam Kumar Bera, 2019. "New model for addressing supply chain and transport safety for disaster relief operations," Annals of Operations Research, Springer, vol. 283(1), pages 33-69, December.
    8. A. Charnes & W. W. Cooper, 1957. "Management Models and Industrial Applications of Linear Programming," Management Science, INFORMS, vol. 4(1), pages 38-91, October.
    9. Seyed Hossein Razavi Hajiagha & Hannan Amoozad Mahdiraji & Maryam Behnam & Boshra Nekoughadirli & Rohit Joshi, 2022. "A scenario-based robust time–cost tradeoff model to handle the effect of COVID-19 on supply chains project management," Operations Management Research, Springer, vol. 15(1), pages 357-377, June.
    10. Elif Bozkaya & Levent Eriskin & Mumtaz Karatas, 2023. "Data analytics during pandemics: a transportation and location planning perspective," Annals of Operations Research, Springer, vol. 328(1), pages 193-244, September.
    11. Büyüktahtakın, İ. Esra & des-Bordes, Emmanuel & Kıbış, Eyyüb Y., 2018. "A new epidemics–logistics model: Insights into controlling the Ebola virus disease in West Africa," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1046-1063.
    12. Laumanns, Marco & Thiele, Lothar & Zitzler, Eckart, 2006. "An efficient, adaptive parameter variation scheme for metaheuristics based on the epsilon-constraint method," European Journal of Operational Research, Elsevier, vol. 169(3), pages 932-942, March.
    13. Shivani & Deepika Rani, 2024. "Multi-objective multi-item four dimensional green transportation problem in interval-valued intuitionistic fuzzy environment," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(2), pages 727-744, February.
    14. Mohammad Heydari & Kin Keung Lai & Yanan Fan & Xiaoyang Li, 2022. "A Review of Emergency and Disaster Management in the Process of Healthcare Operation Management for Improving Hospital Surgical Intake Capacity," Mathematics, MDPI, vol. 10(15), pages 1-34, August.
    15. Ghasemi, Peiman & Khalili-Damghani, Kaveh & Hafezalkotob, Ashkan & Raissi, Sadigh, 2019. "Uncertain multi-objective multi-commodity multi-period multi-vehicle location-allocation model for earthquake evacuation planning," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 105-132.
    16. Yin, Yunqiang & Yang, Yongjian & Yu, Yugang & Wang, Dujuan & Cheng, T.C.E., 2023. "Robust vehicle routing with drones under uncertain demands and truck travel times in humanitarian logistics," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    17. Mohammad Heydari & Kin Keung Lai, 2023. "Post-COVID-19 Pandemic Era and Sustainable Healthcare: Organization and Delivery of Health Economics Research (Principles and Clinical Practice)," Mathematics, MDPI, vol. 11(16), pages 1-30, August.
    18. Sakawa, Masatoshi & Kato, Kosuke & Nishizaki, Ichiro, 2003. "An interactive fuzzy satisficing method for multiobjective stochastic linear programming problems through an expectation model," European Journal of Operational Research, Elsevier, vol. 145(3), pages 665-672, March.
    19. Barbato, Michele & Ceselli, Alberto & Premoli, Marco, 2023. "On the impact of resource relocation in facing health emergencies," European Journal of Operational Research, Elsevier, vol. 308(1), pages 422-435.
    20. Alicia Núñez & S. D. Sreeganga & Arkalgud Ramaprasad, 2021. "Access to Healthcare during COVID-19," IJERPH, MDPI, vol. 18(6), pages 1-12, March.
    21. Kim Sundtoft Hald & Paula Coslugeanu, 2022. "The preliminary supply chain lessons of the COVID-19 disruption—What is the role of digital technologies?," Operations Management Research, Springer, vol. 15(1), pages 282-297, June.
    22. Víctor Blanco & Ricardo Gázquez & Marina Leal, 2023. "Mathematical optimization models for reallocating and sharing health equipment in pandemic situations," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 355-390, July.
    23. Tamiz, Mehrdad & Jones, Dylan & Romero, Carlos, 1998. "Goal programming for decision making: An overview of the current state-of-the-art," European Journal of Operational Research, Elsevier, vol. 111(3), pages 569-581, December.
    24. Fattahi, Mohammad & Keyvanshokooh, Esmaeil & Kannan, Devika & Govindan, Kannan, 2023. "Resource planning strategies for healthcare systems during a pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 192-206.
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