Year: 2012
Type: conference-paper
Abstract: Uncertainties in production and assembly processes have a significant influence on performance.In most cases the notion of uncertainty implies machine breakdowns, defective items or various uncertainties in procurement.However, especially in manual production, each realistic model should also take into account and treat human related uncertainties.Unfortunately, in contrast to "standard" uncertainties, there are no statistical data credible enough to use in order to model them.In the present paper we demonstrate the application of Cognitive Reliability and Error Analysis Method (CREAM) in manual assembly.Through the knowledge of experts Cream permit to highlight the main cognitive errors, their impacts and to elicit these errors quantitatively.
Source: HAL
Authors: Kseniya Schemeleva, Cédric Nguyen, Séverine Durieux, Christophe Caux
Language: French
Topic: Risk and Safety Analysis
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W2739962213