A robust bi-objective mathematical model for disaster rescue units allocation and scheduling with learning effect

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dc.authoridNadi Serhan Aydın / 0000-0002-1453-0016en_US
dc.authorscopusidNadi Serhan Aydın / 55904216900
dc.authorwosidNadi Serhan Aydın / X-8938-2018
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorAydın, Nadi Serhan
dc.contributor.authorRanjbar-Bourani, Mehdi
dc.contributor.authorWeber, Gerhard Wilhelm
dc.date.accessioned2020-09-30T09:10:19Z
dc.date.available2020-09-30T09:10:19Z
dc.date.issued2020en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThis paper proposes a novel bi-objective mixed-integer linear programming (MILP) model for allocating and scheduling disaster rescue units considering the learning effect. When a natural phenomenon (e.g., earthquake or flood) occurs, the presented decision support model is expected to help decision-makers of emergency relief centers to provide efficient planning for rescue units to minimize the total weighted completion time of rescue operations, as well as the total delay in rescue operations. The problem has some features in common with unrelated parallel machine scheduling (UPMS) problem and traveling salesman problem (TSP). To deal with the inherent uncertainty and bi-objective nature of the problem, an uncertainty-set based robust optimization technique and multi-choice goal programming (MCGP) with utility functions are applied. To demonstrate the applicability of the proposed model, a real case study in Mazandaran province in Iran is presented. The computational results confirm the high complexity of the problem and the significant impacts of the uncertainty on the solution. Moreover, the analytical results provide useful insights to decision-makers for disastrous situations.en_US
dc.identifier.citationTirkolaee, E. B., Aydın, N. S., Ranjbar-Bourani, M., & Weber, G. W. (2020). A robust bi-objective mathematical model for disaster rescue units allocation and scheduling with learning effect. Computers & Industrial Engineering, 106790.en_US
dc.identifier.doi10.1016/j.cie.2020.106790en_US
dc.identifier.issn0360-8352en_US
dc.identifier.scopus2-s2.0-85091222752en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.cie.2020.106790
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1123
dc.identifier.volume149en_US
dc.identifier.wosWOS:000582320000037en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAydın, Nadi Serhan
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofComputers and Industrial Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDisaster Rescue Unitsen_US
dc.subjectMixed-Integer Linear Programmingen_US
dc.subjectMulti-Choice Goal Programming With Utility Functionsen_US
dc.subjectResource Allocation and Schedulingen_US
dc.subjectRobust Optimizationen_US
dc.titleA robust bi-objective mathematical model for disaster rescue units allocation and scheduling with learning effecten_US
dc.typeArticleen_US

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