Chabouh Safa, Hammami Sondes, Marcon Eric, Bouchriha Hanen
Université de Tunis El Manar, Ecole Nationale d'Ingénieurs de Tunis, LR11ES20 Laboratoire d'Analyse, de Conception et de Commande des Systèmes, 1002, Tunis, Tunisia.
Université De Carthage, Ecole Nationale d'Ingénieurs De Carthage, 2035, Tunis, Tunisia.
Health Syst (Basingstoke). 2021 Apr 23;11(3):172-188. doi: 10.1080/20476965.2021.1908851. eCollection 2022.
This paper addresses the daily appointment scheduling (AS) of patients in a hospital-integrated facility where outpatients and inpatients are treated simultaneously and share critical resources. We propose a lean approach based on the pull-strategy "Constant Work in Process" (ConWIP) to develop robust and easy-to-implement AS rules. Our objective is to reduce patients' waiting time and maximise the use rate of resources while considering the global surgical process and stochastic service times. The AS rules based on ConWIP are evaluated using a Discrete-Event-Simulation model. Numerical experiments based on a real-life case study are carried out to assess the proposed appointment rules' performance and compare them to AS rules developed in the literature. The results highlight the robustness of our approach and demonstrate its usefulness in practice.
本文探讨了在一家门诊和住院患者同时接受治疗且共享关键资源的医院综合设施中患者的每日预约调度（AS）问题。我们提出了一种基于拉动策略“恒定在制品”（ConWIP）的精益方法，以制定稳健且易于实施的AS规则。我们的目标是在考虑整体手术流程和随机服务时间的同时，减少患者等待时间并最大化资源利用率。基于ConWIP的AS规则使用离散事件仿真模型进行评估。基于实际案例研究开展了数值实验，以评估所提出的预约规则的性能，并将其与文献中制定的AS规则进行比较。结果突出了我们方法的稳健性，并证明了其在实践中的实用性。
