TY - JOUR
T1 - Discussion : From factor to vector, a quantum transition in assessing safety in ATM systems
AU - Stoop, J. A.
PY - 2018/12/1
Y1 - 2018/12/1
N2 - Recently, several major events in various high tech industries have revealed deficiencies in assessing safety at a systems level. Conventional analytic approaches in the operational phase suffer from paradigmatic limitations. In non-plus, ultra-safe and complex, dynamic systems, such as Air Traffic Management systems, safety requires a new approach in which: - Safety is a strategic value in decision making and business modeling.- Safety is a system property, represented by state/space vectors.- Safety assessment focuses on quantifiable dissimilarities between various system states and operating conditions throughout their life cycle phases. In order to cope with non-linear interactions and interventions, firstly, safety has to be integrally designed into the system and assessed as an inherent property before it can manifest itself in practice as an emergent property. Secondly, engineering design methods have to be mobilized, such as forensic engineering, value and knowledge based engineering and resilience engineering. The design of safer systems should apply a non-linear design methodology, with an integral assessment of all values and performance requirements, including safety. Such a predictive, quantifiable assessment includes simulation, prototyping and dissimilarity measurements. Finally, system adaptation should focus on the functional level, inherent system properties and synchronization of event vectors and system state vectors.
AB - Recently, several major events in various high tech industries have revealed deficiencies in assessing safety at a systems level. Conventional analytic approaches in the operational phase suffer from paradigmatic limitations. In non-plus, ultra-safe and complex, dynamic systems, such as Air Traffic Management systems, safety requires a new approach in which: - Safety is a strategic value in decision making and business modeling.- Safety is a system property, represented by state/space vectors.- Safety assessment focuses on quantifiable dissimilarities between various system states and operating conditions throughout their life cycle phases. In order to cope with non-linear interactions and interventions, firstly, safety has to be integrally designed into the system and assessed as an inherent property before it can manifest itself in practice as an emergent property. Secondly, engineering design methods have to be mobilized, such as forensic engineering, value and knowledge based engineering and resilience engineering. The design of safer systems should apply a non-linear design methodology, with an integral assessment of all values and performance requirements, including safety. Such a predictive, quantifiable assessment includes simulation, prototyping and dissimilarity measurements. Finally, system adaptation should focus on the functional level, inherent system properties and synchronization of event vectors and system state vectors.
KW - Dissimilarity measuring
KW - Forensics
KW - Safety
KW - State/space vector
KW - Value engineering
UR - http://www.scopus.com/inward/record.url?scp=85041101852&partnerID=8YFLogxK
U2 - 10.1016/j.ssci.2018.01.013
DO - 10.1016/j.ssci.2018.01.013
M3 - Comment/Letter to the editor
AN - SCOPUS:85041101852
SN - 0925-7535
VL - 110
SP - 467
EP - 477
JO - Safety Science
JF - Safety Science
ER -