Paper Info
Title
Model of human reliability for manual workers in assembly lines
Abstract
This study presents the construction of a human reliability model for assembly line manual workers, using Cox's Proportional Risk model. Nine factors were identified in 120 assembly line operators using psychometric tests. Subsequently, the factors of stress, motivation, memory, and personality were identified, using a multiple linear regression analysis, as those that significantly contribute to the occurrence of human error and, together, are considered as the worker's operational environment. The parameters were defined for the distribution of base failures for modeling the rate of human risk. The model obtained enables the establishment of the contribution of each factor to the probability that human errors will be committed within a determined period of time.
Year
DOI
Venue
2014
10.1109/IEEM.2014.7058878
Industrial Engineering and Engineering Management
Keywords
Field
DocType
assembling,human resource management,occupational stress,psychometric testing,regression analysis,reliability,risk management,Cox proportional risk model,assembly line manual workers,assembly line operators,assembly lines,base failure distribution,human error probability,human reliability model,human risk rate,memory factor,motivation factor,multiple linear regression analysis,personality factor,psychometric test,stress factor,worker operational environment,Cox's Proportional Risk model,Human reliability,errors,multiple linear regression
Human reliability,Human error,Operator (computer programming),Psychometric tests,Engineering,Reliability engineering,Risk model,Operations management,Linear regression,Personality
Conference
ISSN
Citations 
PageRank 
2157-3611
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Yolanda A. Báez141.44
Manuel A. Rodriguez200.34
Jorge Limon341.44
Diego A. Tlapa442.45