Risk Control and Cost Benefit Analysis of Docking Operation
DOI:
https://doi.org/10.7324/IJASRE.2018.32575Keywords:
Bayesian network, Risk control measures, Cost benefit analysis, Dry docking, Undocking operationsAbstract
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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Copyright (c) 2018 Denis Njumo Atehnjia, Zaili Yang, Jin Wang

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.