@article {IOPORT.05878736,
    author       = {Guerriero, Francesca and Olivito, Filomena},
    title        = {Modelling and solving a car rental revenue optimisation problem.},
    year         = {2011},
    journal      = {International Journal of Mathematics in Operational Research (IJMOR)},
    volume       = {3},
    number       = {2},
    issn         = {1757-5850},
    pages        = {198-218},
    publisher    = {Inderscience Publishers, Gen\`eve},
    doi          = {10.1504/IJMOR.2011.038911},
    abstract     = {Summary: We address the problem of a car rental agency that is confronted with how to decide to accept or reject a booking request to optimise the revenue. An innovative integer programming model is devised, which incorporates particularities of the car rental business, like multi-day rents and non-cascading upgrades. To capture the randomness of the demand, robustness measures and the related scenario-based formulations are presented. An extensive computational study is carried out, by considering a set of randomly generated instances. The collected computational results show the relation between problem size and computation time and the effect of risk-aversion on revenue.},
    identifier   = {05878736},
}