Analysis of heavy truck maintenance issues

Abstract

The objective of the study is to determine whether the scientific literature in the field of heavy truck maintenance parallels current development trends in maintenance. For this purpose, models related to fleet maintenance were analysed in terms of cost optimization, decision-making support and improving employees’ maintenance competencies. The analysis underlines the lack of research in the studied field and highlights the scientific gap in the development of methodological approaches to improving the competencies of truck drivers as important entities in the process of detection and elimination of technical issues. The analysis of heavy truck maintenance issues therefore serves as empirical support for the improvement of maintenance processes in the addressed industry as well as in logistics in general. The resulting research also synthesizes the scientific literature in the field of fleet maintenance, which represents an important support for future empirical studies.

An Analysis of Effect on Energy Saving of Trucks in Transport and Logistics Business

“…In checking and setting up the engine on schedule, the condition of the car, engine and equipment must be examined to ensure everything is in accordance with the specified standards. Optimizing decisionmaking in maintenance planning and executing work can result in cost reductions, improved efficiency and improved vehicle reliability (Škerlič and Sokolovskij, 2020). Overloading will cause the engine to use more oil.…”

Short-term Maintenance Planning of Autonomous Trucks for Minimizing Economic Risk

“…A recent literature review in the area of maintenance management performance demonstrates the need for detailed quantitative analyses to properly choose the maintenance strategy [29]. Moreover, analyses in [33] show that scientific research that deals with truck maintenance, especially modern truck maintenance guidelines are lacking. With the development of AV technologies, new demands and research topics for fault handling and maintenance planning are emerging.…”

“…Therefore, we conduct a sensitivity analysis of the variance of RUL. The variance and the expectation of the estimated RUL with a distribution ( ) are Var = 2 (33) and…”

“…Until now research on autonomous trucks has been limited, but there is a rapidly growing interest [27]. More specifically, scientific research that deals with the maintenance of autonomous trucks is very sparse, or even lacking [33]. However, for the practicability of autonomous trucks in the real world, it is critical to facilitate them with effective maintenance planning schemes.…”