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A new fuzzy model for determining risk level on the workplaces in manufacturing small and medium enterprises

Author

Listed:
  • Marko J Djapan
  • Danijela P Tadic
  • Ivan D Macuzic
  • Predrag Dj Dragojovic

Abstract

Crucial part of the reduction and prevention of workplace injuries and maintaining occupational safety and health system takes risk assessment model, which appears as one of the most important. Frequent advances in all fields cause changes in risk assessment models in relation to the traditional approach. This article is focused on providing reliable assessment tool that will enable suitable and easy usage of methodology for risk evaluation in the workplaces in manufacturing small and medium enterprises. For that purpose, three groups of factors are introduced and their hierarchical structures are defined. Pre-defined linguistic expressions are used to describe relative importance of factors, sub-factors and values of sub-factors. Fuzzy set theory is used for modeling of existing uncertainties. The levels of identified risks are given by exact way, using fuzzy logic. The proposed model is tested with real-life data from manufacturing small and medium enterprises.

Suggested Citation

  • Marko J Djapan & Danijela P Tadic & Ivan D Macuzic & Predrag Dj Dragojovic, 2015. "A new fuzzy model for determining risk level on the workplaces in manufacturing small and medium enterprises," Journal of Risk and Reliability, , vol. 229(5), pages 456-468, October.
    • Handle: RePEc:sae:risrel:v:229:y:2015:i:5:p:456-468
    DOI: 10.1177/1748006X15581219
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    References listed on IDEAS

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    5. Wang, Xiaojun & Chan, Hing Kai & Yee, Rachel W.Y. & Diaz-Rainey, Ivan, 2012. "A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain," International Journal of Production Economics, Elsevier, vol. 135(2), pages 595-606.
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