dc.contributor.author | Amoozad Mahdiraji, Hannan | |
dc.contributor.author | Beheshti, Moein | |
dc.contributor.author | Razavi Hajiagha, Seyed Hossein | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.date.accessioned | 2023-09-18T17:28:30Z | |
dc.date.available | 2023-09-18T17:28:30Z | |
dc.date.issued | 2018 | |
dc.identifier.issn | 1648-4142 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/123584 | |
dc.description.abstract | Prominent influence of transportation costs on supply chain overall profit indicates the importance and emergence of transportation optimization models. Regarding this issue and in view of realistic situation consisting of non-deterministic information, in this research optimizing inbound and outbound transportation costs of a multi echelon supply chain has been considered. To deal with uncertain time deliveries and pricing strategies adopted by different members of supply chain, in conjunction with unpredictable demand rate, fuzzy logic and specifically Trapezoidal Fuzzy Numbers (TrFNs) are included. After designing a fuzzy binary multi objective model based upon structural assumptions, the solving approach is proposed and the model is employed on Iranian steel supply network to illustrate the potential and advantages of our scheduled model. The bi-objective mixed integer fuzzy programming model presents and encompasses many realistic circumstances making the model applicable in network transportation cases. | eng |
dc.format | PDF | |
dc.format.extent | p. 810-820 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Academic Search Complete | |
dc.relation.isreferencedby | ICONDA | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | VINITI RAN | |
dc.relation.isreferencedby | Compendex | |
dc.relation.isreferencedby | Index Copernicus | |
dc.source.uri | https://journals.vgtu.lt/index.php/Transport/article/view/5800/5043 | |
dc.title | A fuzzy binary bi objective transportation model: Iranian steel supply network | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.references | 53 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | University of Tehran | |
dc.contributor.institution | Khatam University | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.contributor.department | Tvariosios statybos institutas / Institute of Sustainable Construction | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.vgtuprioritizedfields | TD0202 - Aplinką tausojantis transportas / Environment-friendly transport | |
dc.subject.ltspecializations | L102 - Energetika ir tvari aplinka / Energy and a sustainable environment | |
dc.subject.en | fuzzy sets | |
dc.subject.en | transportation problem | |
dc.subject.en | binary bi objective models | |
dc.subject.en | supply network | |
dc.subject.en | optimization | |
dcterms.sourcetitle | Transport | |
dc.description.issue | iss. 3 | |
dc.description.volume | vol. 33 | |
dc.publisher.name | VGTU Press | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 000453078300022 | |
dc.identifier.doi | 2-s2.0-85063990838 | |
dc.identifier.doi | 10.3846/transport.2018.5800 | |
dc.identifier.elaba | 31722696 | |