dc.contributor.author | Dzemydienė, Dalė | |
dc.contributor.author | Burinskienė, Aurelija | |
dc.contributor.author | Miliauskas, Arūnas | |
dc.date.accessioned | 2023-09-18T20:43:29Z | |
dc.date.available | 2023-09-18T20:43:29Z | |
dc.date.issued | 2021 | |
dc.identifier.issn | 2071-1050 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/152062 | |
dc.description.abstract | The problems of developing online decision support systems concern the complexity of the transportation management processes, the multi‐dimensionality of data warehouses (DWs), and the multi‐criteria of decision making. Such issues arise in the management processes by supporting them with adaptable information and communication infrastructure for the management of the freight’s transportation processes. Our research domain involves the assurance of infrastructure for the provision of smart services for the operative management of multi‐modal transportation of freights under the conditions of the heterogeneity of communication channels and multi‐criteria decision support. The complexity of managing multi‐modal transportation processes raises some problems for ensuring the infrastructure for finding more optimal management solutions by the requirements of green development. This research aims to develop the approach for providing the infrastructure of intelligent smart services for adaptable implementation in management processes of online multi‐modal freight transportation. The objectives are forwarded to construct the multi-criteria decision‐making components and integrate them into the multi‐layered, computer‐based information management of intelligent systems. We present the steps of extension of the structure of the knowledge‐based system with a multi‐criteria decision support method, and the possibilities to work under the conditions of wireless networks and the recognition of context‐aware situations The results are demonstrated for the analysis of alternatives by assessing the multi‐modal transportation corridors between the East and West regions of Europe, and the opportunities to evaluate them for more effective managerial perspectives under sustainable development requirements. | eng |
dc.format | PDF | |
dc.format.extent | p. 1-26 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.relation.isreferencedby | Social Sciences Citation Index (Web of Science) | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | INSPEC | |
dc.relation.isreferencedby | GEOBASE | |
dc.relation.isreferencedby | RePec | |
dc.relation.isreferencedby | CABI - CAB Abstracts | |
dc.rights | Laisvai prieinamas internete | |
dc.source.uri | https://doi.org/10.3390/su13094675 | |
dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:91512307/datastreams/MAIN/content | |
dc.source.uri | 10.3390/su13094675 | |
dc.subject | N900 - Verslas ir vadyba / Business and administrative studies | |
dc.title | Integration of multi-criteria decision support with infrastructure of smart services for sustainable multi-modal transportation of freights | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/) | |
dcterms.license | Creative Commons – Attribution – 4.0 International | |
dcterms.references | 55 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas Vilniaus universitetas | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.researchfield | S 003 - Vadyba / Management | |
dc.subject.researchfield | N 009 - Informatika / Computer science | |
dc.subject.researchfield | T 003 - Transporto inžinerija / Transport engineering | |
dc.subject.studydirection | B04 - Informatikos inžinerija / Informatics engineering | |
dc.subject.studydirection | E12 - Transporto inžinerija / Transport engineering | |
dc.subject.vgtuprioritizedfields | TD0202 - Aplinką tausojantis transportas / Environment-friendly transport | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | decision support system (DSS) | |
dc.subject.en | multi‐criteria decision making | |
dc.subject.en | multi‐modal transportation of freights | |
dc.subject.en | smart services | |
dc.subject.en | information infrastructure | |
dc.subject.en | sustainable management | |
dcterms.sourcetitle | Sustainability | |
dc.description.issue | iss. 9 | |
dc.description.volume | vol. 13 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 000650896900001 | |
dc.identifier.doi | 10.3390/su13094675 | |
dc.identifier.elaba | 91512307 | |