EVALUATING THE LOCATION OF REGIONAL RETURN CENTERS IN REVERSE LOGISTICS THROUGH INTEGRATION OF GIS, AHP AND INTEGER PROGRAMMING

dc.authorid ACAR, A.Zafer/0000-0003-4538-4944
dc.authorid Onden, Ismail/0000-0003-2807-9454
dc.authorid Kara, Karahan/0000-0002-1359-0244
dc.authorwosid Kara, Karahan/AAI-9973-2021
dc.authorwosid Onden, Ismail/F-3479-2019
dc.authorwosid ACAR, A.Zafer/H-9877-2012
dc.authorwosid Kara, Karahan/JFS-1016-2023
dc.contributor.author Acar, A. Zafer
dc.contributor.author Onden, Ismail
dc.contributor.author Kara, Karahan
dc.date.accessioned 2024-10-15T20:19:07Z
dc.date.available 2024-10-15T20:19:07Z
dc.date.issued 2015
dc.department Okan University en_US
dc.department-temp [Acar, A. Zafer] Piri Reis Univ, Dept Int Logist & Transportat, Istanbul, Turkey; [Onden, Ismail; Kara, Karahan] Okan Univ, Dept Int Logist, Istanbul, Turkey en_US
dc.description ACAR, A.Zafer/0000-0003-4538-4944; Onden, Ismail/0000-0003-2807-9454; Kara, Karahan/0000-0002-1359-0244 en_US
dc.description.abstract Reverse logistics network problems are accepted as sophisticated research areas in the existing literature due to difficulties of the prediction of the material flow in the network and the conflicting objectives of minimizing total cost and energy consumption while maximizing customer satisfaction and control of the pollution. There are different approaches to dealing with the difficulties of the problem, yet these approaches overlook the geographical aspect of the issues. In this paper, a reversed network of a governmental organization is evaluated. A methodology is proposed that integrates Analytic Hierarchy Process, Geographic Information Systems and integer programming to determine the locations of the return centers and to deal with the complicated structure. Population, airport locations, maritime facilities, railroad lines and highway lines are accepted as the decision criteria. Based on these decision criteria, suitability levels of the candidate cities are calculated. A closed-loop supply chain is taken into consideration and reverse functions of the chain are evaluated with the proposed methodology. Finally, the locations of regional return centers are determined. en_US
dc.description.woscitationindex Science Citation Index Expanded
dc.identifier.citationcount 15
dc.identifier.endpage 411 en_US
dc.identifier.issn 1943-670X
dc.identifier.issue 4 en_US
dc.identifier.scopusquality Q3
dc.identifier.startpage 399 en_US
dc.identifier.uri https://hdl.handle.net/20.500.14517/6425
dc.identifier.volume 22 en_US
dc.identifier.wos WOS:000360937300001
dc.identifier.wosquality Q4
dc.language.iso en
dc.publisher Univ Cincinnati industrial Engineering en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject reverse logistics en_US
dc.subject geographic information systems (GIS) en_US
dc.subject spatial analysis en_US
dc.subject integer programming en_US
dc.subject analytic hierarchy process (AHP) en_US
dc.subject location analysis en_US
dc.title EVALUATING THE LOCATION OF REGIONAL RETURN CENTERS IN REVERSE LOGISTICS THROUGH INTEGRATION OF GIS, AHP AND INTEGER PROGRAMMING en_US
dc.type Article en_US
dc.wos.citedbyCount 12

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