dc.contributor.author | Mousavi, Seyed Meysam | |
dc.contributor.author | Antuchevičienė, Jurgita | |
dc.contributor.author | Zavadskas, Edmundas Kazimieras | |
dc.contributor.author | Vahdani, Behnam | |
dc.contributor.author | Hashemi, Hassan | |
dc.date.accessioned | 2023-09-18T17:16:50Z | |
dc.date.available | 2023-09-18T17:16:50Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1648-4142 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/121273 | |
dc.description.abstract | Cross-dock has been a novel logistic approach to effectively consolidate and distribute multiple products in logistics networks. Location selection of cross-docking centers is a decision problem under different conflicting criteria. The decision has a vital part in the strategic design of distribution networks in logistics management. Conventional methods for the location selection of cross-docking centers are insufficient for handling uncertainties in Decision-Makers (DMs) or experts’ opinions. This study presents a modern Multi-Criteria Group Decision-Making (MCGDM) model, which applies the concept of compromise solution under uncertainty. To address uncertainty, Interval-Valued Intuitionistic Fuzzy (IVIF) sets are used. In this paper, first an IVIF-weighted arithmetic averaging (IVIF-WAA) operator is used in order to aggregate all IVIF-decision matrices, which were made by a team of the DMs into final IVIF-decision matrix. Then, a new Collective Index (CI) is developed that simultaneously regards distances of cross-docking centers as candidates from the IVIF-ideal points. Finally, the feasibility and practicability of proposed MCGDM model is illustrated with an application example on location choices of cross-docking centers to the logistics network design. | eng |
dc.format | PDF | |
dc.format.extent | p. 30-40 | |
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 | ProQuest Central | |
dc.relation.isreferencedby | DOAJ | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://journals.vgtu.lt/index.php/Transport/article/view/7442/6442 | |
dc.source.uri | https://doi.org/10.3846/transport.2019.7442 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:33700037/datastreams/MAIN/content | |
dc.title | A new decision model for cross-docking center location in logistics networks under interval-valued intuitionistic fuzzy uncertainty | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) | |
dcterms.references | 50 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Shahed University | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Islamic Azad University | |
dc.contributor.institution | Iran University of Science and Technology | |
dc.contributor.faculty | Statybos fakultetas / Faculty of Civil Engineering | |
dc.subject.researchfield | T 002 - Statybos inžinerija / Construction and engineering | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.researchfield | T 003 - Transporto inžinerija / Transport engineering | |
dc.subject.vgtuprioritizedfields | TD0303 - Žalioji logistika, tarptautiniai transporto koridoriai / Green logistics and international transport corridors | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | multiple cross-docks | |
dc.subject.en | location evaluation and selection | |
dc.subject.en | logistics networks | |
dc.subject.en | multi-criteria decision-making | |
dc.subject.en | group decision process | |
dc.subject.en | interval-valued intuitionistic fuzzy sets | |
dcterms.sourcetitle | Transport | |
dc.description.issue | iss. 1 | |
dc.description.volume | vol. 34 | |
dc.publisher.name | VGTU Press | |
dc.publisher.city | Vilnius | |
dc.identifier.doi | 2-s2.0-85060494594 | |
dc.identifier.doi | 000459327500004 | |
dc.identifier.doi | 10.3846/transport.2019.7442 | |
dc.identifier.elaba | 33700037 | |