Romanian Journal of Information Science and Technology (ROMJIST)

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ROMJIST is a publication of Romanian Academy,
Section for Information Science and Technology

Editor – in – Chief:
Academician Dan Dascalu

Secretariate (office):
Adriana Neagu
Adress for correspondence: romjist@nano-link.net (after 1st of January, 2019)

Editing of the printed version: Mihaela Marian (Publishing House of the Romanian Academy, Bucharest)

Technical editor
of the on-line version:
Lucian Milea (University POLITEHNICA of Bucharest)

Sponsors:
• National Institute for R & D
in Microtechnologies
(IMT Bucharest), www.imt.ro
• Association for Generic
and Industrial Technologies (ASTEGI), www.astegi.ro

ROMJIST Volume 23, No. T, 2020, pp. T41-T56, Paper no. 673/2020
 

Emir ZUNIC, Dzenana DONKO
Innovative Concept for Setting Up and Adjustment the Parameters of Real-world Vehicle Routing Problems: Case Study in Logistics

ABSTRACT: Transportation occupies one-third of logistics costs, and accordingly transportation systems largely influence the performance of the logistics system. Most of the algorithms for successful solving of vehicle routing problem (VRP) are consisted of several control parameters and constants, so this paper presents the data-driven prediction model for adjustment of the parameters based on historical data, especially for practical VRP problems with realistic constraints in the field of freight and logistics. The concept is consisted of four prediction models: (1) Generalized Linear Models (GLM); (2) Support Vector Machine (SVM); (3) Decision Tree (DT); (4) Naive Bayes (NB), and decision support systems for comparing acquired results for each of the used models. Additionally, one of the parameters necessary for successfully solving any of the VRP problems is time of unloading goods (service time) for each observed customer. A novel approach for setting up the customers’ time of unloading goods is established. The successful feasibility of the given transportation routes, in a real environment, is also presented.

KEYWORDS: Data Mining and Analysis, Data-driven concept, Vehicle Routing Problem, Parameter Setting Problem, Real-world dataset

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