Abstract
This study proposes a methodological review and an illustrative example for the Human Reliability Analysis. The paper deals with work-related stress and It discusses about the role of humans into manufacturing systems over automation control. A causal loop methodology is used to report the dynamic responses over time of humans at work. The Causal Loop is arranged inside a main framework which includes multi criteria decisions about main and subsidiaries concepts that influence the work-stress and the operations management. We chose the mapping method using expert, seniors and workers judgments and we demonstrated its utility in supporting decision for strategic operational goals. Factors and variables from the Human, Team, Work, Environment behavior are considered and declined in constant, measurable and depended elements with their inter and intra level connections. Contextualization in a safety based approach is reported. Findings are discussed with regard to a manufacturing set in terms of reliability management. We identified and modelled critical influencing factors for human reliability at work while discussing about human robotic interaction.
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Appendix
Appendix
We used questionnaires to collect information from the field. Workers, from the assembly division, were invited to select the appropriate response according to their own sensation at work. Managers were asked for choosing the importance of a particular factor in order to test the variable under investigation. Physician selected the appropriate role among concepts. The answers were elaborated according to the ANP approach with consistency verification. Here is reported a sample of how worker replied. The module is attached in order to guarantee repeatability in the interested analysis. Numerical points are included for illustration - those can be chosen from a list of guided responses.
Main List of Acronyms -
Distinguished in categories and, inside those, arranged in alphabetic order
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Fundamentals of main methodology
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Tools for Human Reliability Assessment
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Variables for main functions
FUNDAMENTALs | ANP | Analytic Network Process |
CLD | Causal Loop Diagram | |
DoE | Design of Experiment | |
HF | Human Factor | |
HFM | Human Factor Management | |
HRA | Human Reliability Assessment | |
MALBP | Mixed model Approach for Line Balancing Problem | |
OM | Operations Management | |
PSF | Principal Shaping Factor | |
SD | System Dynamics | |
MAIN VARIABLEs | a | allowance rate |
C | Comparison Matrix | |
D | Decision vector | |
j kil | judgment of decision K compared with I as per expert L | |
L max | Fatigue max | |
MET | Maximum Endurance Time | |
MVC | Maximum Load Contraction | |
N | Negative influence in CLD | |
P | Positive influence in CLD | |
P/N | Positive AND Negative influence in CLD | |
p i | priority of decision factor i | |
R | Reliability % | |
RA | Rest Allowance | |
λ | failure rate | |
TOOLs | ACIH | Analysis of Consequences of Human Unreliability (translated from French acronyms) |
ATHENA | A Technique for Human Error aNAlysis | |
CoCoM | Contextual Control Model | |
CREAM | Cognitive Reliability and Error Analysis Method | |
DUA | Decision on Unrequired Action | |
HEART | Human Error Assessment and Reduction Technique | |
HEP | Human Error Probability | |
JHEDI | Justified Human Error Data Information | |
NARA | Nuclear Action Reliability Assessment | |
OOP | Operations Optimization Problem | |
OSHA | Occupational Safety and Health Administration | |
PRA | Probabilistic Risk Analysis | |
PSA | Probabilistic Safety Assessment | |
RULA | Rapid Upper Limb Analysis | |
RWL | Recommended Weight Limit | |
S&C | Snook and Ciriello (S&C) | |
SCEBRA | SCEnario Based Risk Assessment | |
SIA | Structured Information Analysis | |
SLIM-Mud | Success Likelihood Index Methodology, Multi-attribute utility decomposition | |
SOR | Stimulus, Organism, Response | |
SPAR-H | Standardized Plant Analysis Risk–Human reliability analysis | |
THERP | Technique for Human Error Rate Prediction |
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Fruggiero, F., Fera, M., Lambiase, A., Di Pasquale, V. (2020). Linking Human Factors to Assess Human Reliability. In: Ferraguti, F., Villani, V., Sabattini, L., Bonfè, M. (eds) Human-Friendly Robotics 2019. HFR 2019. Springer Proceedings in Advanced Robotics, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-030-42026-0_12
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