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Invalidity Risks Management Technologies of Systems for Standard ISO 9001-2008

  • E. D. Solozhentsev
Part of the Topics in Safety, Risk, Reliability and Quality book series (TSRQ, volume 20)

Abstract

Standard ISO 9001-2008 requires an assessment of invalidity (quality) of economic and engineering systems and processes. The invalidity is the inconsistency between parameters and elements of a system and qualifying technical conditions and requirements.

We consider Risks management technologies for analysis and management of the processes invalidity risk: the description of invalid events and variables; the logic and probabilistic (LP) model of the system invalidity risk; the assessment and analysis of the system invalidity risk; the management of the system states invalidity risk; the management of the systems development invalidity risk.

We propose a general scheme of building an LP-risk model of invalidity of economic, technical and organizational system and processes. We consider the technologies of building LP-models of validity on the examples: management of development of economical and technical systems; flight tests of machines, processes and systems; the electric metallurgical plant electrical power supply system and the system of an ammunition depot explosion prevention.

We consider the following problems regard to the construction of LP-invalidity risk models: (1) engineering, methodological, logical and calculation aspects; (2) taking into account the replication of elements and events in LP-models of invalidity risk in complex systems and processes; (3) taking into account the peculiarities of LP-risk models of invalidity, built on the basis of technical documentation and by the events scenarios; (4) the technique of building the LP-model of invalidity proposes ten different representations of LP-model of invalidity.

Keywords

Short Path Repeated Element Program Complex Power Supply System System Validity 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 2012

Authors and Affiliations

  • E. D. Solozhentsev
    • 1
  1. 1.Inst. of Problems in Mech. EngineeringRussian Academy of SciencesSaint PetersburgRussia

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