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Safety Accidents in Risky Industries

Safety Accidents in Risky Industries

Black Swans, Gray Rhinos and Other Adverse Events

Hardback

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  • Release Date: 07/01/2022
  • Barcode: 9781032136479
  • Imprint: CRC Press
  • Publisher: Taylor & Francis
Safety Accidents in Risky Industries

Safety Accidents in Risky Industries

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DESCRIPTION

Black Swans, Gray Rhinos and Other Adverse Events
This book brings together different metaphors that are being used to describe risk and apply these in high-risk industries in a single volume. It is an ideal text for professionals working in the fields of health and safety, quality engineering, compliance engineering, aerospace engineering, occupational health and safety, industrial engineering.

This text introduces bad events (incidents and accidents) named as metaphors. The metaphors, called as "safety animals," are named as black swan, gray rhino, gray swans, and invisible gorilla.

The book analyzes incidents and accidents from the context of the safety management system in the risky industries including aviation, nuclear, chemical, oil, and petroleum. It further uses mathematical analysis of these events (through statistics and probabilities) and presents preventive and corrective measures in dealing with the same.

It comprehensively covers important topics including real-time monitoring, reverse stress testing, change management, predictive maintenance, management system, contingency plans, human factors, behavioral safety, anticipatory failure determination, resilience engineering (RE), resilience management (RM), Swiss cheese model, and probability distribution.

Aimed at professionals working in the fields of health and safety, quality engineering, compliance engineering, aerospace engineering, occupational health and safety, and industrial engineering, this text:

  • Provides an insight to safety managers in analyzing bad events and the ways to deal with them
  • Covers randomness, uncertainty, and predictability in detail
  • Explains concepts including reverse stress testing, real-time monitoring, and predictive maintenance in a comprehensive manner
  • Presents mathematical analysis of incidents and accidents using statistics and probability theories


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