Applying systems thinking to analyze and learn from events

By Nancy G. Leveson. 2010

490 citations recorded by the source corpus.

Major accidents keep occurring that seem preventable and that have similar systemic causes. Too often, we fail to learn from the past and make inadequate changes in response to losses. Examining the assumptions and paradigms underlying safety engineering may help identify the problem. The assumptions questioned in this paper involve four different areas: definitions of safety and its relationship to reliability, accident causality models, retrospective vs. prospective analysis, and operator error. Alternatives based on systems thinking are proposed.

Subfields: Medical Laboratory Technology, Radiological and Ultrasound Technology, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/505bdb515cff505259583fcc92e87e2781981d41

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Medical Laboratory Technology

  1. David Hofmann

In Radiological and Ultrasound Technology

  1. R. Ramanujam
  2. David Hofmann
  3. Kathleen M. Sutcliffe
  4. Paul S. Goodman
  5. S. Wanless

In Statistics and Probability

  1. R. Ramanujam
  2. David Hofmann
  3. Kathleen M. Sutcliffe
  4. Paul S. Goodman

Citations in the corpus