Impact of selected logistic factors on the efficiency of municipal waste collection with use the advanced statistical tools
			
	
 
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				1
				Faculty of Engineering Sciences, University of Applied Sciences in Nowy Sącz, Zamenhofa 1a, 33-300 Nowy Sącz, Poland
				 
			 
						
				2
				Institute of Natural Sciences and Technology, Angelus Silesius University of Applied Sciences in Wałbrzych, Zamkowa 4, 58-300 Wałbrzych, Poland
				 
			 
						
				3
				Faculty of Engineering ‘Vasile Alecsandri’ University of Bacau, Calea Marasesti 157, Bacau, 600115, Romania
				 
			 
						
				4
				Municipal Utility Company Ltd Kolejowa 4, 58-300 Wałbrzych, Poland
				 
			 
										
				
				
			
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    					Grzegorz  Przydatek   
    					Faculty of Engineering Sciences, University of Applied Sciences in Nowy Sącz, Zamenhofa 1a, 33-300 Nowy Sącz, Poland
    				
 
    			
				 
    			 
    		 		
			
																						 
		
	 
		
 
 
J. Ecol. Eng. 2025; 26(8):307-317
		
 
 
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
This article presents the results of research over 12 months on municipal waste export, assessing the load capacity of the export fleet and taking into account the impact of selected logistic factors on the efficiency of waste transport. The service range covered an area with a population of over 100 000 inhabitants. The highest average net weight of collected waste of 8.72 Mg with a standard deviation of 3.60 Mg was characteristic of a vehicle with the highest capacity in the study. The analysis of deviations from the maximum payload was also significant, showing over 20% underutilisation of the vehicles’ payload. A full correlation was present between the net weight and filling of separated waste. The developed a new model is considered an essential tool in designing and controlling waste disposal, which, through its adjustment, is determined by the filling variable through the variable net mass. Based on the analysis, the selection of vehicles with a specific capacity should take into account optimising municipal waste transport parameters using tools for intelligent waste logistics management.