ESTIMATION AND ASSESSMENT OF THE RISK OF HUMAN ERROR IN THE APPLICATION OF THE FRAMEWORK METHOD OF EXPLOITATION WITH UNDERMINED COAL BANK

Author:

Enache Carla1,Miclea Olga2,Cucaila Marius1,Cucaila Simona1,Popescu Claudius1

Affiliation:

1. University of Petrosani � Doctoral School

2. National Institute for Research and Development in Mine Safety and Protection to Explosion - INSEMEX Petro?ani

Abstract

Because the occupational risk expressed the possibility of ending up in a (possible) danger of injury and/or occupational illness, it can represent a criterion of qualitative appreciation of the accomplishment of a human action, indicating how it may produce undesirable effects, materialized by human and material damage. The risk associated with a human action is determined by a multitude of risk factors, both of internal nature (manifested by human error) and of an external nature (technical equipment and related protection systems), which manifest themself in an organizational framework in which the executor carries out his activity, where the problem of risk perception has a dual character: the executor�s own risk versus the risk associated with human error. The human reasoning behind an action is generally based on at the mental level by each performer, the situation of a risky, complex or foreseeable damage action requiring a preliminary assessment of the occupational risk associated with that action. The paper highlights the results obtained based on the assessment of the risk associated with human error in the application of the framework method of exploitation with undermined coal bank, using a grapho-analytical model to estimate and assess the degree of global impairment (the severity of the maximum predictable consequence) and the corresponding probability, as a result of the verifying compliance of the conformity of the technical prescriptions for safety and health at work.

Publisher

STEF92 Technology

Reference6 articles.

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4. [4] Cruz, M., Operational risk modelling and analysis. Theory and practice., published by Risk Book, a Division of Incisive Financial Publishing Ltd, London, (2004).

5. [5] Lee, H.S., Kim H., Park, M., Construction risk assessment using site influence factors, Journal of Computing in Civil Engineering, Vol. 26, Issue 3, pp. 319-330, (2012).

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