东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2015, Vol. 36 ›› Issue (11): 1668-1672.DOI: 10.12068/j.issn.1005-3026.2015.11.032

• 管理科学 • 上一篇    

家政服务人员与雇主的双边匹配模型

孔德财， 姜艳萍， 纪楠   

  1. (东北大学 工商管理学院， 辽宁 沈阳110169)
  • 收稿日期:2014-10-08 修回日期:2014-10-08 出版日期:2015-11-15 发布日期:2015-11-10
  • 通讯作者: 孔德财
  • 作者简介:孔德财(1984-)， 男， 山东临沂人， 东北大学博士研究生； 姜艳萍(1968-)， 女， 辽宁沈阳人， 东北大学教授， 博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(71271050，71571040); 高等学校博士学科点专项科研基金资助项目(20110042110011).

Two-Sided Matching Model Between Domestic Service Staffs and Employers

KONG De-cai， JIANG Yan-ping， JI Nan   

  1. School of Business Administration， Northeastern University， Shenyang 110169，China.
  • Received:2014-10-08 Revised:2014-10-08 Online:2015-11-15 Published:2015-11-10
  • Contact: JIANG Yan-ping
  • About author:-
  • Supported by:
    -

RichHTML

0

PDF (PC)

998

摘要： 针对如何依据家政服务人员和雇主的供需信息实现最优的双边匹配，从而提高匹配的效率和降低匹配的成本问题， 对家政服务人员与雇主双边匹配问题进行了研究.首先，对家政服务人员与雇主的双边匹配问题进行描述；然后，依据家政服务人员与雇主提供的供需信息，分别计算家政服务人员和雇主的满意度；在此基础上，构建以家政服务人员和雇主的满意度最大为目标的多目标优化模型；通过求解模型，获得最优匹配结果.最后，通过一个算例说明了所提出方法的可行性与有效性.

关键词: 家政服务, 双边匹配, 满意度, 多目标优化模型

Abstract: In order to achieve the optimal two-sided matching according to the supply and demand information of domestic service staff and employers， and to improve the efficiency of matching and reduce the cost of matching， the two-sided matching between domestic service staff and employers was studied. Firstly， the two-sided matching issue between domestic service staff and employers is described. Secondly， the satisfaction degree of domestic service staff and employers is calculated based on the supply and demand information provided by domestic service staff and employers， respectively. Furthermore， a multi-objective optimization model maximizing the staff and employers satisfaction degrees is constructed. A solution model is constructed to determine the corresponding optimal matching alternatives. Finally， a numerical example is given to illustrate the feasibility and effectiveness of the proposed method.

Key words: domestic service, two-sided matching, satisfaction degree, multi-objective optimization model

中图分类号: