ARTYKUŁ ORYGINALNY
Optimizing Municipal Waste Collection: a Case Study of a City in Poland
Więcej
Ukryj
1
Department of Logistics, Warsaw University of Life Sciences, Poland
2
Faculty of Economics, Warsaw University of Life Sciences, Poland
A - Koncepcja i projekt badania; B - Gromadzenie i/lub zestawianie danych; C - Analiza i interpretacja danych; D - Napisanie artykułu; E - Krytyczne zrecenzowanie artykułu; F - Zatwierdzenie ostatecznej wersji artykułu
Data nadesłania: 07-09-2023
Data ostatniej rewizji: 21-09-2023
Data akceptacji: 28-09-2023
Data publikacji: 30-09-2023
Autor do korespondencji
Monika Roman
Department of Logistics, WARSAW UNIVERSITY OF LIFE SCIENCES – SGGW, Nowoursynowska 166, 02-972, Warsaw, Polska
SLW 2023;58(1):197-218
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
The main problem of waste management is the increasing amount of municipal waste, and one of the key processes generating high costs is the waste collection process. The aim of the article was to optimize the route of a garbage truck using information technology (IT) software in one of the most populated Polish cities. The article tests the study hypothesis: the use of route optimization software will reduce the route length traveled by the garbage truck of the MZO in Pruszków. The data for the study was made available with the consent of the Municipal Treatment Plant in Pruszków. The received materials included information on, among others, Global Positioning System (GPS) readings of the garbage truck, including route start and end times, route length, average speed, driving time, and time of stops, points selected by the planners to collect waste along the route, information on the amount of waste collected during the implementation of the route, technical data on the moving vehicle and characteristics of the sorting plant were received. The article proposes the optimization of the routes of collection and transportation of municipal waste using the traveling salesman problem (TSP). The minimization of route length was assumed as the optimization criterion. All calculations were made in the Routimo program dedicated to route planning and optimization. As a result of the optimization, the route length was reduced by nearly 32%, and the working time by 9%. Thus, the research hypothesis stated in the article was positively verified.