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考虑患者回诊情况下的门诊科室调度优化

任宗伟 郭海妮

运筹与管理2018,Vol.27Issue(4):39-49,11.
运筹与管理2018,Vol.27Issue(4):39-49,11.DOI:10.12005/orms.2018.0083

考虑患者回诊情况下的门诊科室调度优化

Scheduling Optimization in Outpatient Department Considering Patient's Return Visit

任宗伟 1郭海妮1

作者信息

  • 1. 哈尔滨商业大学 管理学院,黑龙江 哈尔滨150028
  • 折叠

摘要

Abstract

At present,a most prominent problem in tertiary hospitals in China is the scarcity of resources inclu-ding operating room,large-scale inspection equipment and outpatient departments,etc..It cause a serious queu-ing issue in hospital which can result in patients' waiting for a long time and reducing their satisfaction.In this paper,we do a research about a large hospital in Harbin and collect a lot of relevant data,and our study is the scheduling optimization in outpatient department considering patient's return visit(patient's return visit means the patient does other examinations and then returns to initial outpatient departments).The queuing rules are de-fined by dynamic priority in queuing theory and the value function in the foreground theory.The main goal is to minimize the patient's time perception discontent and the secondary goal is to minimize the hospital operating costs.And we analyze the influence on overall satisfaction given by the change of the two targets' weight parame-ters.We set up corresponding mathematical models and design the plant growth simulation algorithm(PGSA)and then mahe the simulation by MATLAB.The result proves that reasonable physician outpatient department config-uration can effectively reduce patient dissatisfaction and hospital operating costs.

关键词

动态优先级/价值函数/时间感知不满意度/多目标优化/模拟植物生长算法

Key words

dynamic priority/value function/time perception discontent/multi-objective optimization/plant growth simulation algorithm

引用本文复制引用

任宗伟,郭海妮..考虑患者回诊情况下的门诊科室调度优化[J].运筹与管理,2018,27(4):39-49,11.

基金项目

国家自然科学基金资助项目(71371061) (71371061)

黑龙江省政府博士后资助项目(LBH-Z15108) (LBH-Z15108)

哈尔滨商业大学青年创新人才支持项目(2016QN012) (2016QN012)

黑龙江省哲学社会科学研究规划项目(17JLE333) (17JLE333)

运筹与管理

OA北大核心CHSSCDCSCDCSSCICSTPCD

1007-3221

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