摘要
从分析人为失误机理的角度出发,把复杂的装配过程分解为工人的基本行为单元,以此作为研究对象,通过复合分层故障树分析提取人为失误的影响因素,把影响因素水平和该因素影响行为的贡献程度区分开来,提出人员特性的概念,建立了改进的双因子模型,运用粒子群算法进行求解,实现了人员特性各因子之间解耦最优化。通过磨具装配实例表明,该方法在人为失误因素的量化评价和辨识方面的应用是可行的。
From the perspective of analyzing mechanism of human error,complex assembly processes are decomposed into worker's basic behavior units,which are treated as the research object.Then the factors of human mistake are extracted by hierarchical fault tree method,and the factor level and its contribution are separated while the concept of human feature is proposed.According an improved double-factor model is built,which is solved by particle swarm optimization,thus realizing the decoupling optimization among the factors of human feature.Finally,the example of grinding tool assembly shows that this model is feasible in quantitative evaluation and identification of human error factors.
出处
《系统工程》
CSSCI
CSCD
北大核心
2015年第2期50-57,共8页
Systems Engineering
基金
国家自然科学基金资助项目(51175527)
国家"高档数控机床与基础制造装备"科技重大专项(2013ZX04012-012
2013ZX04012-031)
关键词
人员可靠性
双因子模型
粒子群优化
基本行为
辨识和评价
Human Reliability
Double-factor Model
Particle Group Optimization
Evaluation and Identification
