上海交通大学学报 ›› 2022, Vol. 56 ›› Issue (2): 242-252.doi: 10.16183/j.cnki.jsjtu.2020.328
• • 上一篇
收稿日期:
2020-10-15
出版日期:
2022-02-28
发布日期:
2022-03-03
通讯作者:
刘冉
E-mail:Liuran2009@sjtu.edu.cn
作者简介:
王子翔(1994-),男,安徽省阜阳市人,博士生,主要研究方向为医疗服务系统运作管理.
基金资助:
WANG Zixiang, WU Zerui, LIU Ran()
Received:
2020-10-15
Online:
2022-02-28
Published:
2022-03-03
Contact:
LIU Ran
E-mail:Liuran2009@sjtu.edu.cn
摘要:
针对急诊科医生的柔性排班问题,基于排队论和流平衡模型,提出一种已知医生排班情况下估计时变、带回流客流系统中患者等待队长的方法;考虑医生排班的实际约束,建立一个混合整数规划模型,并设计禁忌搜索算法求解该问题.数值实验显示,所提评估方法能够有效近似患者队长,且所提算法求解得到的排班能够有效减少患者的总等待队长.
中图分类号:
王子翔, 吴泽锐, 刘冉. 面向时变回诊患者需求的急诊周排班研究[J]. 上海交通大学学报, 2022, 56(2): 242-252.
WANG Zixiang, WU Zerui, LIU Ran. Weekly Physician Scheduling for Emergency Departments with Time-Varying Demands of Patients with Revisits[J]. Journal of Shanghai Jiao Tong University, 2022, 56(2): 242-252.
表4
TS算法解与实际排班对比
算例 | z | tCT/h | tWT/h | ||||
---|---|---|---|---|---|---|---|
γTS | γREAL | ω3/% | γTS | γREAL | ω4/% | ||
W1 | 1728.25 | 2645.66 | 34.68 | 1.15 | 301.39 | 1352.63 | 77.72 |
W2 | 1707.35 | 2184.16 | 21.83 | 1.38 | 366.89 | 914.65 | 59.89 |
W3 | 1571.75 | 2255.16 | 30.30 | 1.32 | 234.52 | 997.01 | 76.48 |
W4 | 1782.22 | 2927.40 | 39.12 | 1.24 | 365.05 | 1574.81 | 76.82 |
W5 | 1819.63 | 3167.41 | 42.55 | 1.29 | 342.98 | 1813.71 | 81.09 |
平均 | 1721.84 | 2635.96 | 33.70 | 1.27 | 322.17 | 1330.56 | 74.40 |
表5
TS、GA算法解与MIP1模型求解结果
算例 | TS | GA | MIP1 | ||||||
---|---|---|---|---|---|---|---|---|---|
z | z | tCT /h | ω5/% | z | tCT /h | ω6/% | |||
W1 | 1728.25 | 2119.20 | 7.55 | 22.62 | 1779.92 | 8.13 | 2.99 | ||
W2 | 1707.35 | 2059.93 | 6.93 | 20.65 | 2059.10 | 8.15 | 20.60 | ||
W3 | 1571.75 | 1947.97 | 6.78 | 23.94 | 3652.85 | 8.14 | 132.41 | ||
W4 | 1782.22 | 2337.01 | 7.23 | 31.13 | 1991.34 | 8.14 | 11.73 | ||
W5 | 1819.63 | 2294.19 | 7.41 | 26.08 | 4854.50 | 8.13 | 166.78 | ||
平均 | 1721.84 | 2151.66 | 7.18 | 24.88 | 2867.54 | 8.14 | 66.90 |
表6
不同场景下TS算法解与实际排班的目标函数值对比
场景 | 描述 | γTS | γREAL | ω3/% |
---|---|---|---|---|
1 | 医生数增加1 | 1761.79 | 1917.31 | 8.11 |
2 | 医生数减少1 | 2004.16 | 4254.29 | 52.89 |
3 | 医生周最大工作时长增加10% | 1728.25 | 1869.18 | 7.54 |
4 | 医生周最大工作时长减少10% | 1894.67 | 4540.80 | 58.27 |
5 | 医生服务速率增加10% | 1625.83 | 2193.86 | 25.89 |
6 | 医生服务速率减少10% | 2141.44 | 3429.79 | 37.56 |
7 | 检查台数增加1 | 1728.45 | 2621.93 | 34.08 |
8 | 检查台数减少1 | 1727.72 | 2629.90 | 34.30 |
表7
退化分布服务时间下的TS算法解与实际排班对比
算例 | l' | tWT /h | |||||
---|---|---|---|---|---|---|---|
γTS | γREAL | ω7/% | γTS | γREAL | ω4/% | ||
W1 | 474.34 | 1426.59 | 66.75 | 208.31 | 1154.23 | 81.95 | |
W2 | 522.47 | 1001.18 | 47.81 | 277.18 | 756.45 | 63.36 | |
W3 | 393.42 | 1092.44 | 63.99 | 155.19 | 851.91 | 81.78 | |
W4 | 561.30 | 1748.67 | 67.90 | 294.70 | 1471.73 | 79.98 | |
W5 | 549.53 | 1977.35 | 72.21 | 274.53 | 1690.58 | 83.76 | |
平均 | 500.21 | 1449.24 | 63.73 | 241.98 | 1184.98 | 78.17 |
表8
Erlang分布服务时间下TS算法解与实际排班对比
算例 | l' | tWT /h | |||||
---|---|---|---|---|---|---|---|
γTS | γREAL | ω7/% | γTS | γREAL | ω4/% | ||
W1 | 516.57 | 1510.14 | 65.79 | 251.65 | 1240.06 | 79.71 | |
W2 | 560.99 | 1066.24 | 47.39 | 318.11 | 822.97 | 61.35 | |
W3 | 429.69 | 1154.28 | 62.77 | 192.39 | 914.97 | 78.97 | |
W4 | 585.17 | 1784.16 | 67.20 | 327.37 | 1516.62 | 78.41 | |
W5 | 572.86 | 2019.39 | 71.63 | 306.33 | 1741.94 | 82.41 | |
平均 | 533.06 | 1506.84 | 62.96 | 279.17 | 1247.31 | 76.17 |
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