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The research focuses on improving locomotive fleet management by developing a predictive modelling framework to evaluate the effectiveness of alternative maintenance strategies. Railway fleet… read more
The research focuses on improving locomotive fleet management by developing a predictive modelling framework to evaluate the effectiveness of alternative maintenance strategies. Railway fleet management is a highly complex system in which maintaining high operational productivity requires innovative and data-driven approaches.
The proposed model will represent the operational and maintenance dynamics of a fleet of trains operating on a railway network and will be used to assess the impact of different maintenance policies on system performance. The predictions will explicitly incorporate real-world constraints, including financial budgets, maintenance capacity, and equipment availability, with the objective of optimising service reliability, availability, and cost efficiency.
The University of Nottingham Pavement Research Building University Park Nottingham, NG7 2RD
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