Published November 2013 | Version v1
Journal article

The role of human error in risk analysis: Application to pre- and post-maintenance procedures of process facilities

  • 1. Faculty of Engineering and Applied Science, Memorial University of Newfoundland, St. John's, NL (Canada)
  • 2. School of Human Kinetics and Recreation, Memorial University of Newfoundland, St. John's, NL (Canada)
  • 3. Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ (United States)

Description

Human factors play an important role in the safe operation of a facility. Human factors include the systematic application of information about human characteristics and behavior to increase the safety of a process system. A significant proportion of human errors occur during the maintenance phase. However, the quantification of human error probabilities in the maintenance phase has not been given the amount of attention it deserves. This paper focuses on a human factors analysis in pre-and post- pump maintenance operations. The procedures for removing process equipment from service (pre-maintenance) and returning the equipment to service (post-maintenance) are considered for possible failure scenarios. For each scenario, human error probability is calculated for each activity using the Success Likelihood Index Method (SLIM). Consequences are also assessed in this methodology. The risk assessment is conducted for each component and the overall risk is estimated by adding individual risks. The present study is aimed at highlighting the importance of considering human error in quantitative risk analyses. The developed methodology has been applied to a case study of an offshore process facility

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2013.06.038

Additional details

Identifiers

DOI
10.1016/j.ress.2013.06.038;
PII
S0951-8320(13)00203-2;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
119
Journal Page Range
p. 251-258
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45090056
Subject category
S22: GENERAL STUDIES OF NUCLEAR REACTORS; S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
ERRORS; FAILURES; HAZARDS; HUMAN FACTORS; HUMAN POPULATIONS; INFORMATION; MAINTENANCE; OPERATION; PROBABILITY; PUMPS; RISK ASSESSMENT; SAFETY
Descriptors DEC
EQUIPMENT; POPULATIONS

Optional Information

Copyright
Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.