Towards a Conceptual Framework for Resilience Engineering
Intel (United States) · Intelligent Systems Technology (United States) · +1 more institution
Abstract
As systems continue to grow in size and complexity, they pose increasingly greater safety and risk management challenges. Today when complex systems fail and mishaps occur, there is an initial tendency to attribute the failure to human error. Yet research has repeatedly shown that more often than not it is not human error but organizational factors that set up adverse conditions that increase the likelihood of system failure. Resilience engineering is concerned with building systems that are able to circumvent accidents through anticipation, survive disruptions through recovery, and grow through adaptation. This paper defines resilience from different perspectives, provides a conceptual framework for…
Citation impact
- FWCI
- 15.13
- Percentile
- 100%
- References
- 36
Authors
2Topics & keywords
- Anticipation (artificial intelligence)
- Resilience (materials science)
- Risk analysis (engineering)
- Adaptation (eye)
- Human error
- Heuristics
- Computer science
- Set (abstract data type)