Risk Control and Cost Benefit Analysis of Docking Operation

Authors

  • Denis Njumo Atehnjia
  • Zaili Yang
  • Jin Wang

DOI:

https://doi.org/10.7324/IJASRE.2018.32575

Keywords:

Bayesian network, Risk control measures, Cost benefit analysis, Dry docking, Undocking operations

Abstract

In this paper, a failure/accident analysis model is proposed to develop the cost-effective safety measures for preventing accidents in dry docking and undocking operations.The model comprises two parts. In the first part is a quantitative failure analysis model built by Bayesian Network (BN) which can be utilised to present the corresponding prevention measures.In the second part, the proposed prevention measures are ranked in a cost-effective manner through a Bayesian Network (BN) approach.A case study is analysed as an illustration. The case study shows that the proposed model can be used to seek out failure/accident causes and rank the derived safety measures from a cost-effectiveness perspective.The proposed model can provide accident investigators with a tool to generate cost-efficient safety intervention strategies.

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How to Cite

Denis Njumo Atehnjia, Zaili Yang, & Jin Wang. (2018). Risk Control and Cost Benefit Analysis of Docking Operation. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 4(1), 1–14. https://doi.org/10.7324/IJASRE.2018.32575