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Examples of Reliability Models of a Renewable Technical Object in Relation to Special Vehicles
Michał Stawowiak1, Aleksander Gwiazda2, Santina Topolska3
1Department of Mining Mechanization and Robotization, Faculty of Mining, Safety Engineering and Industrial Automation, Silesian University of Technology, Akademicka 2, 44-100 Gliwice, Poland.
Materials (Basel, Switzerland)
|August 14, 2025
Summary
This study presents reliability models for garbage trucks, comparing new part replacement with repair. The models offer valuable insights into maintaining operational efficiency for specialized vehicles.
Area of Science:
- Engineering
- Operations Research
- Maintenance Management
Background:
- Reliability modeling is crucial for specialized technical objects.
- Operational data from city cleaning companies provides realistic insights.
- Garbage trucks with specific compaction and loading mechanisms present unique reliability challenges.
Purpose of the Study:
- To propose and analyze mathematical reliability models for renewable technical objects.
- To evaluate two distinct maintenance strategies: new part replacement versus component renewal.
- To demonstrate the practical application of these models using operational data from garbage trucks.
Main Methods:
- Development of two mathematical reliability models.
- Analysis based on operational data from service books of city cleaning companies.
- Comparison of component replacement (new parts) versus component repair (renewal).
Main Results:
- The study provides concrete examples of reliability model application.
- Both new part replacement and component renewal models were analyzed using real-world data.
- The effectiveness and benefits of the proposed models in operational contexts were demonstrated.
Conclusions:
- The proposed mathematical models are well-suited for analyzing the operational reliability of specialized vehicles like garbage trucks.
- Implementing these reliability models can lead to significant operational benefits and informed maintenance decisions.
- The study highlights the reasonableness and advantages of using these specific reliability models in fleet management.
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