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.2013.06.038Additional 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.