Technical Journal, Vol. 17 No. 3, 2023.
Review article
https://doi.org/10.31803/tg-20230504194331
Modelling Freight Allocation and Transportation Lead-Time
Aurelija Burinskiene
orcid.org/0000-0002-4369-8870
; Vilnius Gediminas Technical University, Sauletekio Avenue 11, 10223 Vilnius, Lithuania
Arunas Burinskas
; Vilnius University, Sauletekio Avenue 9, 10223 Vilnius, Lithuania
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.
Keywords
delivery system; discrete event simulation; environmental sustainability; freight transportation; lead-time
Hrčak ID:
306126
URI
Publication date:
15.9.2023.
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