| dc.contributor.author | Burinskienė, Aurelija | |
| dc.contributor.author | Burinskas, Arūnas | |
| dc.date.accessioned | 2023-09-18T16:41:32Z | |
| dc.date.available | 2023-09-18T16:41:32Z | |
| dc.date.issued | 2023 | |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/116045 | |
| dc.description.abstract | The authors have investigated sustainable environment delivery systems and identified transportation lead-time investigation cases. This research study aimed to increase freight delivery lead-time and minimize distance in transportation. To reach the goal, the paper's authors, after analysis of the hierarchy of quantitative methods and models, proposed the framework for modeling freight allocation and transportation lead-time and delivered a study that includes discrete event simulation. During the simulation, various scenarios have been revised. Following the simulation mentioned above analysis, around 3.8 % of distance could be saved during freight delivery if lead-time for transportation were revised by choosing five days criteria for modeling freight allocation. The savings depend on the number of received orders from different geographic locations. | eng |
| dc.format.extent | p. 24 | |
| dc.format.medium | tekstas / txt | |
| dc.language.iso | eng | |
| dc.source.uri | https://icil2023.fsb.hr/ | |
| dc.source.uri | https://talpykla.elaba.lt/elaba-fedora/objects/elaba:169032337/datastreams/ATTACHMENT_169032727/content | |
| dc.title | Modelling freight allocation and transportation lead-time | |
| dc.type | Konferencijos pranešimo santrauka / Conference presentation abstract | |
| dcterms.references | 0 | |
| dc.type.pubtype | T2 - Konferencijos pranešimo tezės / Conference presentation abstract | |
| dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
| dc.contributor.institution | Vilniaus universitetas | |
| dc.contributor.faculty | Verslo vadybos fakultetas / Faculty of Business Management | |
| dc.subject.researchfield | S 003 - Vadyba / Management | |
| dc.subject.studydirection | L01 - Verslas / Business studies | |
| dc.subject.vgtuprioritizedfields | IK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems | |
| dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
| dc.subject.en | freight transportation | |
| dc.subject.en | delivery system | |
| dc.subject.en | discrete event simulation | |
| dc.subject.en | environmental sustainability | |
| dc.subject.en | lead-time | |
| dcterms.sourcetitle | ICIL 2023: International Conference on Industrial Logistics, May 31 – June 02, 2023, Hotel Kolovare, Zadar, Croatia : conference proceedings | |
| dc.publisher.name | University of Zagreb University of Zagreb and International Centre for Innovation and Industrial Logistics (ICIIL) | |
| dc.publisher.city | Zagreb | |
| dc.identifier.elaba | 169032337 | |
