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

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dc.authorscopusidErfan Babaee Tirkolaee / 57196032874
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorBiswas, Saptadeep
dc.contributor.authorBelamkar, Prasad
dc.contributor.authorSarma, Deepshikha
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorBera, Uttam Kumar
dc.date.accessioned2025-04-18T08:30:00Z
dc.date.available2025-04-18T08:30:00Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractThe 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.
dc.identifier.citationBiswas, S., Belamkar, P., Sarma, D., Tirkolaee, E. B., & Bera, U. K. (2024). A multi-objective optimization approach for resource allocation and transportation planning in institutional quarantine centres. Annals of Operations Research, 1-45.
dc.identifier.doi10.1007/s10479-024-06072-8
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.scopus2-s2.0-85197772212
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1007/s10479-024-06072-8
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6576
dc.identifier.wosWOS:001264581100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorTirkolaee, Erfan Babaee
dc.institutionauthoridErfan Babaee Tirkolaee / 0000-0003-1664-9210
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofAnnals of operations research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectCOVID-19 pandemic
dc.subjectGlobal Logistics and Supply Chains
dc.subjectResource Allocation
dc.subjectQuarantine Centres
dc.subjectEffective Patient Care
dc.subjectTransportation Planning
dc.subjectMulti-Objective Optimization
dc.subjectEnvironmental Sustainability
dc.titleA multi-objective optimization approach for resource allocation and transportation planning in institutional quarantine centres
dc.typeArticle

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