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Pre-Positioning of Relief Items in Humanitarian Logistics Considering Lateral Transhipment Opportunities

dc.contributor.author Ertem, Mustafa Alp
dc.contributor.author Duran, Serhan
dc.contributor.author Baskaya, Serhat
dc.contributor.authorID 52460 tr_TR
dc.contributor.authorID 164958 tr_TR
dc.contributor.other 06.04. Endüstri Mühendisliği
dc.contributor.other 06. Mühendislik Fakültesi
dc.contributor.other 01. Çankaya Üniversitesi
dc.date.accessioned 2018-09-19T06:56:18Z
dc.date.accessioned 2025-09-18T12:06:25Z
dc.date.available 2018-09-19T06:56:18Z
dc.date.available 2025-09-18T12:06:25Z
dc.date.issued 2017
dc.description Ertem, Mustafa Alp/0000-0002-5436-8789; Duran, Serhan/0000-0001-7746-0441 en_US
dc.description.abstract The main objective of this study is to investigate the inclusion of lateral transhipment opportunities into the humanitarian relief chain and to examine the effect of different parameters on minimizing the average distance travelled per item while serving the beneficiaries. Direct shipment model (DT), lateral transhipment model (LTSP) and maritime lateral transhipment model (MLTSP) are developed and compared between each other by using a real life earthquake scenario prepared for the city of Istanbul by JICA (Japanese International Cooperation Agency). Developed mathematical models decide on the locations and number of disaster relief facilities, quantity of relief items to hold at those facilities, and quantity of lateral transhipment between the facilities. Vulnerability of the roads and heterogeneous capacitated facilities are also considered. It can be concluded that both LTSP and MLTSP models gave better results than DT model and lateral transhipment option helps beneficiaries to obtain relief items faster and with higher service level. (C) 2016 Elsevier Ltd. All rights reserved. en_US
dc.description.publishedMonth 3
dc.identifier.citation Başkaya, S., Ertem, M.A., Duran, S. (2017). Pre-positioning of relief items in humanitarian logistics considering lateral transhipment opportunities. Socio-Economic Sciences, 57, 50-60. http://dx.doi.org/10.1016/j.seps.2016.09.001 en_US
dc.identifier.doi 10.1016/j.seps.2016.09.001
dc.identifier.issn 0038-0121
dc.identifier.scopus 2-s2.0-84995691195
dc.identifier.uri https://doi.org/10.1016/j.seps.2016.09.001
dc.identifier.uri https://hdl.handle.net/123456789/10901
dc.language.iso en en_US
dc.publisher Elsevier Science inc en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Freight Transportation en_US
dc.subject Maritime Transportation en_US
dc.subject Relief Chain en_US
dc.subject Capacitated Facility Location en_US
dc.subject Vulnerability en_US
dc.title Pre-Positioning of Relief Items in Humanitarian Logistics Considering Lateral Transhipment Opportunities en_US
dc.title Pre-positioning of relief items in humanitarian logistics considering lateral transhipment opportunities tr_TR
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id Ertem, Mustafa Alp/0000-0002-5436-8789
gdc.author.id Duran, Serhan/0000-0001-7746-0441
gdc.author.institutional Ertem, Mustafa Alp
gdc.author.scopusid 57191975501
gdc.author.scopusid 36023330600
gdc.author.scopusid 23485084000
gdc.author.wosid Ertem, Mustafa/Aag-4242-2019
gdc.author.wosid Duran, Serhan/K-2503-2017
gdc.description.department Çankaya University en_US
gdc.description.departmenttemp [Baskaya, Serhat] ASELSAN AS, Mehmet Akif Ersoy Mahallesi 296 Cadde 16, TR-06172 Ankara, Turkey; [Ertem, Mustafa Alp] Cankaya Univ, Dept Ind Engn, Eskisehir Yolu 29 Km, TR-06790 Ankara, Turkey; [Duran, Serhan] Middle East Tech Univ, Dept Ind Engn, Univ Mahallesi,Dumlupinar Bulvari 1, TR-06800 Ankara, Turkey en_US
gdc.description.endpage 60 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q1
gdc.description.startpage 50 en_US
gdc.description.volume 57 en_US
gdc.description.woscitationindex Science Citation Index Expanded - Social Science Citation Index
gdc.description.wosquality Q1
gdc.identifier.openalex W2518811850
gdc.identifier.wos WOS:000397836900005
gdc.openalex.fwci 5.27960446
gdc.openalex.normalizedpercentile 0.96
gdc.openalex.toppercent TOP 10%
gdc.opencitations.count 49
gdc.plumx.crossrefcites 51
gdc.plumx.mendeley 129
gdc.plumx.scopuscites 48
gdc.scopus.citedcount 48
gdc.wos.citedcount 42
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