Variability of safety risks in production environments

Deepak Dhungana, Alois Haselböck, Rubén Ruiz-Torrubiano, Stefan Wallner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

One of the major steps between (re-)configuration of a factory and the start of production is the commissioning phase, where certification of safety requirements and assessment of potential hazards is a key activity. Typically, assessment of safety risks is a manual process that incorporates the experience and knowledge of the involved stakeholders. The flexibility and the speed gained by automated (re-)configuration of production environments is decelerated by the manual safety certification process, before the factory can start production. This paper is an attempt to eliminate this bottleneck by proposing a model-driven approach to safety risk assessment. An approach based on several models of safety risks enables potential safety risks to be "instantiated"for any given factory at hand. This shortens the recurring process of identifying the risks. A model-driven approach was chosen to capture and utilize the tacit knowledge of the involved stakeholders.
Original languageEnglish
Title of host publication26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings
PublisherACM
Pages178-187
Number of pages10
ISBN (Electronic)9781450394437
DOIs
Publication statusPublished - 12 Sept 2022

Publication series

Name26th ACM International Systems and Software Product Line Conference, SPLC 2022 - Proceedings
VolumeA

Keywords

  • Risk assessment
  • Automated identification
  • Automated identification of risk
  • Hazard in production environment
  • Identification of risks
  • Model-driven
  • Model-driven commissioning
  • Production environments
  • Re-configurations
  • Safety certification
  • Safety risks
  • Hazards
  • model-driven commissioning
  • hazards in production environments
  • safety certification
  • automated identification of risks

Research fields

  • Industry 4.0
  • Smart Grids

IMC Research Focuses

  • Software engineering and intelligent systems

ÖFOS 2012 - Austrian Fields of Study

  • 102034 Cyber-physical systems
  • 102013 Human-computer interaction
  • 102006 Computer supported cooperative work (CSCW)

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