2021-04-122019-01-010265671X17586682WOS;000483863500005SCOPUS;2-s2.0-85063341982http://hdl.handle.net/10784/28346Purpose: The purpose of this paper is to propose a stochastic optimisation model for integrating service and maintenance policies in order to solve the queuing problem and the cost of maintenance activities for public transport services, with a particular focus on urban ropeway system. Design/methodology/approach: The authors adopt the following approaches: a discrete-event model that uses a set of interrelated queues for the formulation of the service problem using a cost-based expression; and a maintenance model consisting of preventive and corrective maintenance actions, which considers two different maintenance policies (periodic block-type and age-based). Findings: The work shows that neither periodic block-type maintenance nor an age-based maintenance is necessarily the best maintenance strategy over a long system lifecycle; the optimal strategy must consider both policies. Practical implications: The maintenance policies are then evaluated for their impact on the service and operation of the transport system. The authors conclude by applying the proposed optimisation model using an example concerning ropeway systems. Originality/value: This is the first study to simultaneously consider maintenance policy and operational policy in an urban aerial ropeway system, taking up the problem of queuing with particular attention to the unique requirements public transport services. © 2019, Emerald Publishing Limited.enghttps://v2.sherpa.ac.uk/id/publication/issn/0265-671XImperfect maintenanceMaintenance policyPublic transportQueuing theoryRopeway systemUrban passenger transportinfo:eu-repo/semantics/article2021-04-12Martinod R.M.Bistorin O.Castañeda L.Rezg N.10.1108/IJQRM-10-2018-0292