An Approach Of Canonical Correlation Analysis, Risk Estimate Analysis And Response Surface Methodology Towards Factors That Affecting The Efficiency Of Management Of Vessels.

Puspa Liza, Ghazali and Gobi Krishnan, Veluplay and Wan Muhamad Amir, W Ahmad (2014) An Approach Of Canonical Correlation Analysis, Risk Estimate Analysis And Response Surface Methodology Towards Factors That Affecting The Efficiency Of Management Of Vessels. Journal of Advanced Scientific Research, 5 (4). pp. 25-30. ISSN 0976-9595

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Abstract

Previously, there were many maritime casualties has been recorded particularly throughout the time when there were no appropriate regulations or guidelines on safety. Finally, International Safety Management Code (ISM Code) was introduced to enhance the maritime safety of vessels above 500 Gross Register Tonnage (GRT) while the ships below 500 GRT are exempted from this regulation. Thus, vessels below 500 GRT does not have regulations or a system to be referred for a safe navigation and management and increase the risk of exposing to hazards. Consequently, the purpose of this study is to find out the factors contributing towards ineffective management in the absence of proper management system on vessels below 500 GRT. A sample consists of 324 respondents (focused group) from varies field in shipping industry was collected using questionnaire forms as an instrument and analyzed using Canonical Correlation Analysis (CCA), Risk Estimate Analysis (REA) and Response Surface Methodology (RSM). In canonical correlation analysis, the summary table and correspondence map indicates that majority of the respondents strongly agreed that external factor is the most associated factor with the efficiency of the management, followed by human error and inefficient management factors in agree category and stability factors were placed under unsure category. In risk estimate analysis, human error obtained the highest probability ratio of 11.774 (p-value < 0.05, CI: 4.676-29.652), followed by external factor is the second highest factors by ratio of 11.019 (p-value < 0.05, CI: 4.391-27.651). In RSM, the counter and surface plots indicate that the highest value or impact of efficiency on management is obtained when the count of human error and external factor to be the contributing factor is agreed the most by respondent while stability factors does not affect the efficiency. 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 and valid safety management should be implemented for the sake of the bright future of maritime industry.

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