Individual Latent Error Detection (I-LED)

Making Systems Safer
Fr. 130.00
ISBN: 978-1-138-48279-1
+ -

Undetected human error in aircraft maintenance creates a latent error condition that can contribute to undesirable outcomes. Individual Latent Error Detection (I-LED) acts as an additional system safety control that helps an engineer recall past errors through environmental cues. This book addresses a gap in the human factors research and current safety strategies by exploring the nature and extent of I-LED and its benefit to safety resilience. The book will describe the I-LED concept using a systems perspective and propose practical interventions to be integrated within existing safety systems as an additional control to enhance resilience against human performance variability.

  • Provides a new view of total safety based on enhanced resilience provided through the integration of I-LED interventions within existing safety systems
  • Offers an in-depth exploration of the phenomenon of spontaneous recall of past event, leading to error detection and recovery of latent error conditions
  • Discusses the application of Human Factors methods to conduct real-world observations in maintenance environments
  • Describes the application of the systems view of human error to applied research
  • Presents cost versus benefit analysis of safety interventions targeting latent error conditions
"For all its academic rigour, this book is surprisingly easy to read. Understanding is helped by the regular references to real-life situations that keep the narrative grounded in the here and now. The authors also apply good academic discipline by challenging the validity of their approach and looking to find flaws in their own research method. All the questionnaires, self-report forms and other key documents they used are included, as are photos of typical maintenance operations." - IOSH Magazine, April 2019

Undetected human error in aircraft maintenance creates a latent error condition that can contribute to undesirable outcomes. Individual Latent Error Detection (I-LED) acts as an additional system safety control that helps an engineer recall past errors through environmental cues. This book addresses a gap in the human factors research and current safety strategies by exploring the nature and extent of I-LED and its benefit to safety resilience. The book will describe the I-LED concept using a systems perspective and propose practical interventions to be integrated within existing safety systems as an additional control to enhance resilience against human performance variability.

  • Provides a new view of total safety based on enhanced resilience provided through the integration of I-LED interventions within existing safety systems
  • Offers an in-depth exploration of the phenomenon of spontaneous recall of past event, leading to error detection and recovery of latent error conditions
  • Discusses the application of Human Factors methods to conduct real-world observations in maintenance environments
  • Describes the application of the systems view of human error to applied research
  • Presents cost versus benefit analysis of safety interventions targeting latent error conditions
"For all its academic rigour, this book is surprisingly easy to read. Understanding is helped by the regular references to real-life situations that keep the narrative grounded in the here and now. The authors also apply good academic discipline by challenging the validity of their approach and looking to find flaws in their own research method. All the questionnaires, self-report forms and other key documents they used are included, as are photos of typical maintenance operations." - IOSH Magazine, April 2019
Autor Saward, Justin R.E. / Stanton, Neville A.
Verlag Taylor and Francis
Einband Fester Einband
Erscheinungsjahr 2018
Seitenangabe 176 S.
Lieferstatus Lieferbar in ca. 10-20 Arbeitstagen
Ausgabekennzeichen Englisch
Abbildungen Farb., s/w. Abb.
Masse H23.4 cm x B15.6 cm x D1.2 cm 362 g
Coverlag CRC Press (Imprint/Brand)
Reihe Transportation Human Factors