Safety Accidents in Risky Industries (e-bog) af Andonov, Sasho
Andonov, Sasho (forfatter)

Safety Accidents in Risky Industries e-bog

546,47 DKK (inkl. moms 683,09 DKK)
This text introduces bad events (incidents and accidents) named as metaphors. The metaphors, called as &quote;safety animals,&quote; 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 mat...
E-bog 546,47 DKK
Forfattere Andonov, Sasho (forfatter)
Forlag CRC Press
Udgivet 7 december 2021
Længde 188 sider
Genrer GPQD
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781000486124
This text introduces bad events (incidents and accidents) named as metaphors. The metaphors, called as "e;safety animals,"e; 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 themCovers randomness, uncertainty, and predictability in detailExplains concepts including reverse stress testing, real-time monitoring, and predictive maintenance in a comprehensive mannerPresents mathematical analysis of incidents and accidents using statistics and probability theories