工业工程

工业工程 ›› 2016, Vol. 19 ›› Issue (3): 115-121.

• 实践与应用 • 上一篇    下一篇

一种面向患者门诊预约满意的决策方法

  

  1. 1. 中国刑事警察学院 基础教研部，辽宁 沈阳 110854；2. 辽宁大学 商学院，辽宁 沈阳 110136；3. 沈阳农业大学 经济与管理学院，辽宁 沈阳 110866
  • 出版日期:2016-06-30 发布日期:2016-08-31
  • 作者简介:曹萍萍(1981-), 女, 山东省人, 讲师, 博士, 主要研究方向为运作管理与应急管理. 通讯作者：李铭洋(1980-)，男，锡伯族，辽宁省人，副教授，博士，主要研究方向为管理决策分析；E-mail:lmy_neu@163.com.
  • 基金资助:

    国家社会科学基金资助项目(13CGL045)；国家自然科学基金资助项目(71503266)；教育部人文社会科学研究青年基金资助项目 (14YJC630063)；辽宁省社会科学规划基金资助项目(L14CGL042);中央高校基本科研业务量重大项目培育计划项目

A Study of Decision Making Method for Outpatient Appointment Satisfaction

  1. 1. Department of Basic Teaching and Research, National Police University of China, Shenyang 110854, China; 2. Business School, Liaoning University, Shenyang 110136, China; 3. College of Economics & Management, Shenyang Agricultural University, Shenyang 110866, China

  • Online:2016-06-30 Published:2016-08-31

摘要：

针对患者给出关于医生和就诊时段的偏好的门诊预约决策问题，给出了一种门诊预约决策方法。首先依据每个患者给出的预约偏好构建其针对医生的偏好向量和针对就诊时段的偏好矩阵，然后分别计算出患者针对医生和就诊时段的满意度，进而将两者集结得到患者在每个就诊时段内接受各医生服务的满意度，进一步地，以所有患者满意度之和最大为目标，构建了门诊预约决策的优化模型，通过模型求解得到最终的预约决策结果。最后，通过一个算例证明了所提出方法的实用性和有效性。

关键词: 门诊预约决策, 预约偏好, 满意度, 优化模型

Abstract:

To deal with the outpatient appointment decision problem in which patients’ preferences for service time and doctors are given, a decision-making method for outpatient appointment is proposed. Firstly, preference vector based on patients’ preferences for doctors and preference matrix for service time are given. Then, the patient satisfaction degrees for service time and doctors are given respectively, and the two are integrated into the patient satisfaction degree for different doctors in every service time. Furthermore, for maximizing the sum of all patients’ satisfaction degree, an optimization model for outpatient appointment decision is developed, and the appointment decision result can be obtained by solving the model. Finally, an example is given to illustrate the practicality and effectiveness of the proposed method.

Key words:

outpatient appointment decisionmaking, preference of appointment, satisfaction degree, optimization model