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RESEARCH PAPER
Improvement uptime of the aging truckload fleets through optimizing maintenance activities
 
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WSB Merito University Poznan, Poland
 
2
Faculty of Transport, Warsaw University of Technology, Poland
 
 
Submission date: 2025-01-13
 
 
Final revision date: 2025-02-12
 
 
Acceptance date: 2025-06-05
 
 
Online publication date: 2025-07-09
 
 
Publication date: 2025-07-09
 
 
Corresponding author
Beata Milewska   

WSB Merito University Poznan, Powstańców Wielkopolskich 5, 61-895, Poznań, Poland
 
 
Eksploatacja i Niezawodność – Maintenance and Reliability 2026;28(2):205976
 
HIGHLIGHTS
  • The truck maintenance model and key indicators to determine effective maintenance strategy.
  • The algorithm estimating uptime trucks’ fleets based on model include unexpected events.
  • Tests of basic maintenance for truck availability – planned, preventive and predictive maintenance.
KEYWORDS
TOPICS
ABSTRACT
In the coming decade, the European economy may face a number of new challenges that are capable of undermining the stability of energy supply. These challenges have by external and internal threats related to the technical availability for the transmission in LHR (Long-Haul Routes) mode and energy distribution in the SHR (Short-Haul Routes) mode. Road tank trucks play a key role in liquid fuels delivers, supplying both renewable and fossil fuels. Reduced investment by T&L companies in the new trucks purchase including road tankers increase risk on unplanned trucks downtime, resulting in delivery delays, customer frustration and higher-than-expected operating costs. As our studies have shown, for aging fleet in favor of PdM (Predictive Maintenance) strategy provides greater resilience to unexpected downtime, especially for deliveries with a high VOD (Value Of Delay) rate. Research findings indicate that such downtime can be reduce by 12-18% providing an increase of delivers efficiency in 10-15%, improves spare parts supply, eliminates the need reserve vehicles
ACKNOWLEDGEMENTS
The authors thanks colleagues for their comments that greatly contributed to the improvement of the manuscript.
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