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Development of Bus Maintenance Information Advisory System

New York City Transit 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.

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