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OUTPATIENT APPOINTMENT SCHEDULING WITH WALK-INS IN FIXED ARRIVAL PERIODS

    Research output: Conference PapersAbstract

    Abstract

    We study the problem of determining an optimal appointment schedule in the presence of walk-ins arriving in a specified time interval. We first consider the problem of scheduling patients in the presence of walk-ins arriving at the start of the schedule. We show that the objective functions for the optimisation problems proposed with and without no-show behaviour are multimodular. Based on this result, we propose an efficient local search algorithm variable neighbourhood descent local search to solve the problems. Our proposed local search algorithm performs better than some other algorithms proposed in the literature. We further study the problem of determining the optimal time interval of the arrival of walk-ins to specify. Numerical studies show that an optimal schedule depends on whether the number of patients to schedule is a decision variable or a fixed constant. Furthermore, our result shows that overbooking policy is not an operational lever for mitigating the effect of no-show behaviour only, but can be used to balance the effect of random walk-ins. Moreover, our result reveals that the policy that stipulates an optimal time window of arrival of walk-ins performs better than the general random walk-in arrival policy.
    Original languageEnglish
    Pages18
    Number of pages1
    Publication statusPublished - Apr 2019
    Event7th International Research Conference on Systems Engineering and Management Science - Nanjing University International Conference Center, Nanjing, China
    Duration: 18 Apr 201920 Apr 2019
    http://www.cityu.edu.hk/seem/ircsems2019/

    Conference

    Conference7th International Research Conference on Systems Engineering and Management Science
    Abbreviated titleIRC-SEMS2019
    PlaceChina
    CityNanjing
    Period18/04/1920/04/19
    Internet address

    Research Keywords

    • appointment scheduling
    • Healthcare management
    • Variable neighbourhood descent
    • Local search
    • Walk-ins

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