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Related Experiment Videos

Risk prevention and policy-making in automatic systems.

L H Goossens1

  • 1Safety Science Group, Delft University of Technology, The Netherlands.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|June 1, 1991
PubMed
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This study introduces a simplified procedure for assessing and managing risks associated with automatic production systems. It balances safety measures and costs to achieve acceptable quantitative risk levels, enhancing occupational safety.

Area of Science:

  • Robotics and Automation
  • Occupational Safety and Health
  • Risk Management

Background:

  • Accidents in automatic production systems occur with a frequency of 1 in 100-1000 robot-years, with fatal accidents being significantly rarer.
  • Traditional occupational safety aims for zero severe accidents in automated systems, necessitating robust risk assessment.
  • Decision-making for safety requires balancing risk reduction measures, costs, and the company's cultural context.

Purpose of the Study:

  • To present a simplified procedure as a decision tool for risk assessment in automatic production systems.
  • To develop a risk concept that integrates deterministic and probabilistic approaches for accident prevention.
  • To facilitate the achievement of a quantitative acceptable risk level through consensus on safety targets.

Main Methods:

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  • Development of a simplified risk assessment procedure incorporating deterministic and probabilistic elements.
  • Identification of eight representative accident scenarios involving robot-human interactions.
  • Proposal of seven prevention policies to address identified accident scenarios.

Main Results:

  • The procedure provides a framework for decision-making in safety management for automated systems.
  • An additional probabilistic approach helps identify cost-effective safety measures for risk reduction.
  • Discussion of three risk evaluation methods to achieve broad consensus on safety targets.

Conclusions:

  • The presented procedure aids in balancing safety, cost, and risk reduction for automatic production systems.
  • A quantitative approach to acceptable risk levels is crucial for effective safety management.
  • Consensus on safety targets is vital for implementing successful risk mitigation strategies in industrial automation.