Statistical Approach of Canonical Correlation Analysis, Risk Estimate Analysis and Response Surface Methodology towards Factors Affecting the Efficiency of the Management of Vessels
Initially, when there were no standard regulations or guidelines on safety, many accident cases were recorded with high fatality rates, loss of properties and environment pollution. Finally, International Safety Management Code (ISM Code) was introduced to enhance the maritime safety, however it is only applied to vessels above 500 Gross Register Tonnage (GRT) and hence the ships below 500 GRT are exempted from this regulation. By reason of lack of proper management system on board particularly on smaller ships, many other factors affecting the safety of vessels have arisen. In line with this, the accident rate does not fall over as it keeps on increasing. Therefore, this research was conducted to find out the factors contributing towards ineffective management as a result of lack in proper management system. The findings of the research were based on the analysis Canonical Correlation analysis, Risk Estimate Analysis and Response Surface Methodology. In short, human error factor is the most contributing factor towards an ineffective management system followed by external factor, stability factor and inefficient management. Hence, a proper model and valid safety management should be implemented for the sake of future maritime industry.