ORIGINAL RESEARCH
Big Data Analytics of a Waste Recycling Simulation
Logistics System
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1
Institute of Logistics and Transport, BERG Faculty, Technical University of Kosice, Kosice, Slovak Republic
2
Institute of Earth Resources, BERG Faculty, Technical University of Kosice, Kosice, Slovak Republic
Submission date: 2019-02-09
Final revision date: 2019-04-02
Acceptance date: 2019-04-22
Online publication date: 2020-01-23
Publication date: 2020-03-31
Corresponding author
Martin Straka
Technical University of Kosice, Park Komenskeho 14, 04384, Kosice, Slovak Republic
Pol. J. Environ. Stud. 2020;29(3):2355-2364
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ABSTRACT
Our paper is focused on data evaluation about the full recycling of waste by special statistical
software and by using the principles of logistics. The paper goes further than the paper entitled
“Environmental assessment of waste recycling based on principles of logistics and computer simulation
design,” which outputs a number of data that need to be reviewed and evaluated separately. Data,
representing 15 types of waste for 5 years, enter the analysis. There were the types of waste that make
up the most important part of the total waste production by means of descriptive statistics. Thanks to
this, they were identified as the most important (from the production point of view) plastic granules
with an average of 755.05 t/month, glass with an average of 672.233 t/month and paper with the average
of 645.25 t/month. The persistence of particular waste type generation was examined by the variation
coefficient in order to reduce the risk of supply of these secondary raw materials in the downstream
supply chain. Selected waste elements can be considered relatively stable with a variation coefficient in
the range 2.4-4.1%; the least stable type is electronic dust with a coefficient of variation of up to almost
23%.