面向基站代维人员分工协作优化的多重指派研究

刘冬宁; 刘统武; 宋静静; 侯艳

doi:10.12052/gdutxb.180062

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面向基站代维人员分工协作优化的多重指派研究

更新时间：2026-05-27

- 面向基站代维人员分工协作优化的多重指派研究
- Multiple Assignment in Task Allocation of Communication Base Stations
- 广东工业大学学报 2018年35卷第6期页码：69-76
- 作者机构：
  
  1. 广东工业大学　计算机学院,广东,广州,510006
  2. 广东省审计厅,广东,广州,510630
- 作者简介：
  
  刘冬宁(1979–)，男，副教授，博士，主要研究方向为协同计算
- 基金信息：
  
  国家自然科学基金资助项目(61603100, 61402118);广东省科技计划项目(2016B010108007);广州市科技计划项目(201604020145, 201604046017, 201604030034);广州市天河区科技计划项目(201602YH029)
- DOI：10.12052/gdutxb.180062
  中图分类号： TP301
- 网络首发：2018-11-23，
  
  纸质出版：2018
- 稿件说明：
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刘冬宁, 刘统武, 宋静静, 侯艳. 面向基站代维人员分工协作优化的多重指派研究[J]. 广东工业大学学报, 2018, 35(6): 69-76.

Liu Dong-ning, Liu Tong-wu, Song Jing-jing, et al. Multiple Assignment in Task Allocation of Communication Base Stations[J]. 2018, 35(6): 69-76.
刘冬宁, 刘统武, 宋静静, 侯艳. 面向基站代维人员分工协作优化的多重指派研究[J]. 广东工业大学学报, 2018, 35(6): 69-76. DOI： 10.12052/gdutxb.180062.

Liu Dong-ning, Liu Tong-wu, Song Jing-jing, et al. Multiple Assignment in Task Allocation of Communication Base Stations[J]. 2018, 35(6): 69-76. DOI： 10.12052/gdutxb.180062.

摘要

为保证并提升服务质量、节约企业运营成本

对多驻点、多任务约束下的移动通讯基站代维人员分工协作进行了优化. 结合“基于角色的协同”工程理论方法及其E-CARGO模型对基站代维任务分工进行建模; 结合历史性仿真数据

采用群组角色指派方法对代维人员做首次一对多分驻点指派与第二次多对多分工指派. 通过实验仿真论证

该方法高效、可靠

能使代维团队在多驻点、多任务约束下尽可能实现执行力最大化

为人力资源决策者提供有效支撑.

Abstract

To make the best use of talents

to ensure and improve the quality of service

and to save the operating costs of enterprises

the division of labor of mobile communication base stations is optimized based on multi-station and multi-task constraints. Combining the "Role-Based Collaboration" engineering theory method with its E-CARGO model

the sub-division task division of the base station is modeled; combined with historical simulation data

the Group Role Assignment method is used to make first the one-to-multiple stagnation point assignment for the maintenance personnel

and then the many-to-many division of labor assignment. Through an experimental simulation

the method is proven efficient and reliable

which enables the generation team to maximize the execution force under multi-station and multi-task constraints

thus providing effective support for human resource decision makers.

关键词

Keywords

references

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