- Tytuł:
- Factor Analysis as a Means of Filtering Rams Indicators for Railway Vehicles
- Autorzy:
-
Sitarz, Marek
Chruzik, Katarzyna
Graboń-Chałupczak, Marzena - Powiązania:
- https://bibliotekanauki.pl/articles/503756.pdf
- Data publikacji:
- 2017
- Wydawca:
- Międzynarodowa Wyższa Szkoła Logistyki i Transportu
- Tematy:
-
Maintenance Management System RAMS
factor analysis - Opis:
- European Commission Regulation (EU) No. 445/2011 regarding the system of certification for entities in charge of maintenance (ECM) of freight wagons requires such entities to supervise the condition of wagons, without specifying the methods of supervision to be used. Each ECM should establish a Maintenance Management System (MMS), which will include the obligation to monitor the fleet of freight wagons. Monitoring railway vehicle maintenance operations should include tracking all significant technical and operational indicators. The key question is which indicators are the have the greatest impact on safety. This paper discusses some issues related to the monitoring of maintenance operations for railway vehicles. It also looks at dedicated solutions for entities in charge of the maintenance for freight wagons based on PN-EN 50126:2002 standard and RAMS indicators (Reliability, Availability, Maintainability and Safety). This paper describes factor analysis of the proposed indicators as a means of selecting those that have a decisive impact on the correctness of the process for monitoring vehicles. This paper shows an example of the implementation of the requirements of the European Commission Regulation 445/2011 [3] regarding the monitoring of the state of railway vehicles and the possibility of using the information so gained as part of a process of continuous improvement. Reducing the number of indicators will reduce the amount of data needed to calculate all the RAMS indicators, without compromising the benefits of the rail vehicle monitoring system.
- Źródło:
-
Logistics and Transport; 2017, 36, 4; 105-112
1734-2015 - Pojawia się w:
- Logistics and Transport
- Dostawca treści:
- Biblioteka Nauki