New York City Transit’s Department of Buses faced a problem where they found buses frequently breaking down during operation. In order to reduce the number of breakdowns, two approaches are being explored. First, it was felt, using the data present in their database, to develop statistical models to effectively predict the failures of critical components. This would also help in scheduling the buses for maintenance operations. In order to have an impact, using Pareto Analysis, systems that had the most number of failures were identified for the study. These systems consisted of a plethora of components, which were grouped into families. Relevant data was extracted from the central database and the data was validated before the data sets were reduced and prepared for statistical analysis. Various models were studied, but reliability analysis was preferred over the rest. A software application using Visual Basic was developed to automate the process and assist in determining the life various components in a bus.
Maintenance management has relied heavily on collecting asset condition information to plan maintenance activities and budget allocation. Data collect...
This report describes Task A of the contract to "Develop the Groundwork and Prepare the Backup Information Necessarv for the Establishment of a Bus TR...
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