Solving EMU Maintenance Personnel Resource Optimization Problem with Uncertainty Theory

摘要：

　　EMU runs in complex and diverse weather conditions and geographical environments, and it has a large number of complicated subsystems, thus it is hard to predict EMU maintenance tasks.As an empirical or subjective estimation, EMU maintenance tasks can be regarded as an uncertain variable.This paper is concerning with EMU maintenance personnel resource optimization problem with uncertain maintenance tasks.Under the framework of uncertainty theory, the optimal EMU maintenance personnel resource policy for uncertain maintenance tasks problem is derived.

关键词： Personnel Resource Optimization EMU Maintenance Uncertainty Theory

作者: Shuang Ren Yuan Gao Feng Liu

作者单位: School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044

会议类型: 国内会议

会议名称: 第十三届中国不确定系统年会暨第九届中国智能计算大会

会议地点: 长春

会议语种:英文

页码: 569-574

在线出版日期: 2015-07-25（万方平台首次上网日期，不代表论文的发表时间）