Economics at your fingertips  

Prototype model for big data predictive analysis in logistics area with Apache Kudu

Liliya Mileva (), Pavel Petrov (), Plamen Yankov (), Julian Vasilev () and Stefka Petrova ()
Additional contact information
Liliya Mileva: University of Economics Varna, Bulgaria
Pavel Petrov: University of Economics Varna, Bulgaria
Plamen Yankov: University of Economics Varna, Bulgaria
Stefka Petrova: University of Economics Varna, Bulgaria

Economics and computer science, 2021, issue 1, 20-41

Abstract: Logistics is area, which is evolving rapidly, generating a lot of data lately. There are several problems that, even when partially digitized, require additional work. At the same time there is a need of big data analyses. These analyses are represented by machine learning and statistical analyses. One important problem is these with missing data for delivery in the whole process of transportation, other is about empty freight transportation. The purpose of this paper is to present an ICT prototype model with analytical tool Apache Kudu in logistics area, which will contribute to resolve such problems in area. Content analysis and systematic approach are used. Statistical methods and statistical data are used. Growth rates of empty road transport are calculated. The presented data are for Bulgaria and its neighbour’s county, excluding Romania, because of the missing data. Croatia is also included in the analysis. Growth rate analysis indicates problems with empty fright transport in some countries. The tendency for Bulgaria is to reduce empty road freight transport, even though it is better for logistics organizations to work for optimizing the process of delivery.

Date: 2021
References: View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link) (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

More articles in Economics and computer science from Publishing house "Knowledge and business" Varna
Bibliographic data for series maintained by Julian Vasilev ().

Page updated 2023-03-26
Handle: RePEc:kab:journl:y:2021:i:1:p:20-41