Risk Mitigation Strategy for Coal Transshipment
Main Article Content
Keywords
Coal, Transshipment, Mother Vessel, TOPSIS, ISO 31000:2018
Abstract
Coal transshipment necessitates efficient and prompt execution, devoid of any delays or work-related accidents. Numerous events during the transshipment process have the potential to disrupt operations and pose substantial risks. This research aims to examine the risks associated with coal transshipment by leveraging ISO 31000:2018 as the risk analysis framework. Additionally, it seeks to prioritize risk mitigation strategies employing the Techniques for Other Preferences by Similarity to Ideal Solutions (TOPSIS) methodology. Data collection for this study involved surveys and expert discussions to comprehensively analyze all risks by ISO 31000:2018 guidelines. The findings were then visualized through the use of a fishbone diagram, which facilitated the identification and understanding of the generated risks. The analysis revealed several threats that could impact the coal transshipment process. These major threats include natural disasters, equipment failures, shipping accidents, health risks for workers, fire hazards, operational delays, inefficient loading and unloading processes, and transportation accidents. The proposed mitigation strategies such as designing SOPs, developing emergency response plans, implementing safety measures, providing training, conducting risk assessments, and ensuring equipment maintenance, are academically supported and practical in their application. However, challenges such as financial constraints, resistance to change, and the dynamic nature of the process need to be overcome for effective implementation. Organizations can enhance safety and operational efficiency in coal transshipment by carefully managing resources, engaging stakeholders, and continuously evaluating and improving strategies. Overall, the proposed strategies offer a feasible and proactive means to mitigate threats and promote a safer and more efficient transshipment process.
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Noufal Zhafira, Trisakti University
Noufal Zhafira is a Master's student of Industrial Engineering at Trisakti University, Central Jakarta. He obtained his Bachelor's degree in the Department of Industrial Engineering, Faculty of Engineering, Andalas University, Padang, in 2017.
Triwulandari Satitidjati Dewayana, Trisakti University
Triwulandari SD is a senior lecture in the Department of Industrial Engineering, Trisakti University, Indonesia. Her educational background is a Bachelor of Industrial Engineering, a Master of Management, and a Doctor of Agricultural Industry Technology. She has more than 31 years of teaching/ research in the field of Industrial Engineering and management. Her research interests include Operation and Supply Chain Management, Quality Engineering, Decision Making, and Performance Management.
Dedy Sugiarto, Trisakti University
Dedy Sugiarto is a lecturer in the Department of Information Systems at Trisakti University, Central Jakarta. He pursued his Doctoral Degree in Agro-Industrial Engineering at Bogor Agricultural Institute (2012). His research interests include knowledge management, applied statistics, and data mining.
