Simulative analysis of performance shaping factors impact on human reliability in manufacturing activities

In performing Human Reliability Analysis (HRA), the environmental and personal factors impact on human performance and enhance or degrade the human error probability (HEP). Their modelling and quantification is one of the most complex issues in the HRA field, to which many researchers recently are concentrating their efforts. This paper focuses on the eight performance shaping factors (PSFs), used in the Simulator for Human Error Probability Analysis (SHERPA), in order to understand how they affect HEP, considering especially their mutual interactions. The one-factor-at-atime method was used to assess singularly the levels of each factor, while the analysis of variance allowed to realize if there is more or less dependence between them. The results highlight statistical relevance and interactions between factors when the factors with high multiplier value are combined, like experience, procedures and ergonomics. These outcomes can be useful in the enhancement of work context in order to reduce errors.

[1]  Salvatore Miranda,et al.  Proposta di un modello simulativo per la determinazione automatica delle pause di lavoro in attività manifatturiere a prevalente contenuto manuale , 2004 .

[2]  Ali Mosleh,et al.  Deriving causal Bayesian networks from human reliability analysis data: A methodology and example model , 2012 .

[3]  Domenico Falcone,et al.  Study and modelling of very flexible lines through simulation , 2010, SpringSim.

[4]  Paolo Trucco,et al.  Modelling and assessment of dependent performance shaping factors through Analytic Network Process , 2011, Reliab. Eng. Syst. Saf..

[5]  R. Macchiaroli,et al.  Proposal of a quali-quantitative assessment Model for Health and Safety in Small and Medium Enterprises , 2009 .

[6]  Ronald L. Boring How Many Performance Shaping Factors are Necessary for Human Reliability Analysis , 2010 .

[7]  Poong Hyun Seong,et al.  Development of a qualitative evaluation framework for performance shaping factors (PSFs) in advanced MCR HRA , 2011 .

[8]  A. Gelman Analysis of variance: Why it is more important than ever? , 2005, math/0504499.

[9]  Wondea Jung,et al.  A taxonomy of performance influencing factors for human reliability analysis of emergency tasks , 2003 .

[10]  Sankaran Mahadevan,et al.  Inclusion of fatigue effects in human reliability analysis , 2011, Reliab. Eng. Syst. Saf..

[11]  Salvatore Miranda,et al.  An Overview of Human Reliability Analysis Techniques in Manufacturing Operations , 2013 .

[12]  Raffaele Iannone,et al.  A Simulator for Human Error Probability Analysis (SHERPA) , 2015, Reliab. Eng. Syst. Saf..

[13]  Domenico Falcone,et al.  Modeling and Simulation of an assembly line: a new approach for assignment and optimization of activities of operators , 2011 .

[14]  Laura Painton Swiler,et al.  Bridging the gap between HRA research and HRA practice: A Bayesian network version of SPAR-H , 2013, Reliab. Eng. Syst. Saf..

[15]  Ronald L. Boring,et al.  The Measure of human error: Direct and indirect performance shaping factors , 2007, 2007 IEEE 8th Human Factors and Power Plants and HPRCT 13th Annual Meeting.