Designing an efficient humanitarian supply chain network during an emergency: A scenario-based multi-objective model

Basit Öğe Kaydı
dc.authoridJafarzadeh-Ghoushchi, Saeid/0000-0003-3665-9010
dc.authoridSimic, Vladimir/0000-0001-5709-3744
dc.authoridTirkolaee, Erfan Babaee/0000-0003-1664-9210
dc.authoridMardani, Abbas/0000-0003-1010-3655
dc.authorwosidJafarzadeh-Ghoushchi, Saeid/AAC-7253-2019
dc.authorwosidSimic, Vladimir/B-8837-2011
dc.authorwosidTirkolaee, Erfan Babaee/U-3676-2017
dc.authorwosidMardani, Abbas/D-5700-2015
dc.contributor.authorJafarzadeh-Ghoushchi, Saeid
dc.contributor.authorAsghari, Mohammad
dc.contributor.authorMardani, Abbas
dc.contributor.authorSimic, Vladimir
dc.contributor.authorTirkolaee, Erfan Babaee
dc.date.accessioned2024-05-19T14:42:30Z
dc.date.available2024-05-19T14:42:30Z
dc.date.issued2023
dc.departmentİstinye Üniversitesien_US
dc.description.abstractEfficient humanitarian supply chain (HSC) management plays an underlying role in saving lives, reducing human torment, and contributing to sustainable development during a disaster. Accordingly, the issue of locating and allocating relief facilities in the first hours after the occurrence of a disaster has a great impact on providing timely service. This study addresses a sustainable location-allocation-inventory problem (LAIP) to design an efficient HSC through concurrently optimizing four objectives of fairness, timeliness, economic productivity, and social justice. To do so, a novel scenario-based multi-objective mixed-integer linear programming (MILP) model is developed to formulate the problem under uncertainty. According to this model, the process of taking care of injured people is carried out in three stages of decision-making. Maximum facilities for sending relief supplies are used to supply the demand at each stage. In addition, the three factors of supply, demand, and communication routes between the centers and the affected areas are defined as fuzzy random parameters. Since the proposed model contains multiple objectives, goal programming (GP) is applied to provide a single-objective model. The validation of the developed methodology is made with the help of an illustrative example in the literature, and the results are obtained and evaluated using sensitivity analysis of the objective functions' weights. As one of the main findings, sending the maximum available supplies in MDCs to the affected areas in three stages using surplus vehicles is the best solution to cover the shortage of products. Finally, it is revealed that the proposed methodology can be utilized by managers to tackle the complexity of the problem during natural disasters.en_US
dc.identifier.doi10.1016/j.seps.2023.101716
dc.identifier.issn0038-0121
dc.identifier.issn1873-6041
dc.identifier.scopus2-s2.0-85173183235en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.seps.2023.101716
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5250
dc.identifier.volume90en_US
dc.identifier.wosWOS:001088461300001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofSocio-Economic Planning Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectHumanitarian Supply Chainen_US
dc.subjectDisaster Operations Managementen_US
dc.subjectFacility Location And Allocationen_US
dc.subjectEquilibrium Chanceen_US
dc.subjectGoal Programmingen_US
dc.titleDesigning an efficient humanitarian supply chain network during an emergency: A scenario-based multi-objective modelen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu