Risk Mitigation Strategy for Coal Transshipment

Main Article Content

Noufal Zhafira
Triwulandari Satitidjati Dewayana
Dedy Sugiarto


Coal, Transshipment, Mother Vessel, TOPSIS, ISO 31000:2018


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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[1] International Standard Organization (ISO), BS ISO 31000 : 2018 BSI Standards Publication Risk management — Guidelines. 2018.
[2] R. Almeida, J. M. Teixeira, M. Mira da Silva, and P. Faroleiro, "A conceptual model for enterprise risk management," Journal of Enterprise Information Managament, vol. 32, no. 5, pp. 843–868, 2019, doi: 10.1108/JEIM-05-2018-0097.
[3] G. H. S. Rampini, H. Takia, and F. T. Berssaneti, "Critical success factors of risk management with the advent of ISO 31000 2018 - Descriptive and content analyzes," Procedia Manufacturing, vol. 39, pp.894–903, 2019, doi: 10.1016/j.promfg.2020.01.400.
[4] A. Y. Wicaksono, “Applying ISO:31000:2018 as Risk Management Strategy on Heavy Machinery Vehicle Division,” International Journal of Science, Engineering, and Information Technology, vol. 4, no. 2, pp.198–202, 2020, doi: 10.21107/ijseit.v4i2.6871.
[5] S. D. Fitri, D. L. Setyowati, and K. Duma, “Implementasi Manajemen Risiko Berdasarkan ISO 31000 : 2009 pada Program Perawatan Mesin di Area Workshop PT . X,” Faletehan Health Journal, vol. 6, no. 1, pp. 16–24, 2019.
[6] M. A. N. Wahyudien and E. Kusrini, “Risk Management Berdasarkan Framework Pada Aktifitas Perusahaan Jasa Konsultasi Dengan ISO 31000:2018,” Teknoin, vol. 26, no. 2, pp. 127–140, 2020, doi: 10.20885/teknoin.vol26.iss2.art4.
[7] T. Parviainen, F. Goerlandt, I. Helle, P. Haapasaari, and S. Kuikka, "Implementing Bayesian networks for ISO 31000:2018-based maritime oil spill risk management: State-of-art, implementation benefits and challenges, and future research directions," Journal of Environmental Management, vol. 278, no. November 2020, 2021, doi: 10.1016/j.jenvman.2020.111520.
[8] J. A. Theodorou and I. Tzovenis, "A framework for risk analysis of the shellfish aquaculture: The case of the Mediterranean mussel farming in Greece," Aquaculture and Fisheries, April 2021, doi: 10.1016/j.aaf.2021.04.002.
[9] A. Chiarini, "Risk-based thinking according to ISO 9001:2015 standard and the risk sources European manufacturing SMEs intend to manage," The TQM Journal, vol. 29, no. 2, pp. 310–323, 2017, doi: 10.1108/TQM-04-2016-0038.
[10] L. L. Oksana Zhemchugova, Violetta Levshina, "Application of risk-based approach methods of various levels of complexity in the quality management system of a transport company," Transportation Research Procedia, vol. 63, pp. 1–12, 2022, doi: 10.1016/j.trpro.2022.05.001.
[11] P. Lahuta, P. Kardoš, and M. Hudáková, “Integrated Risk Management System in Transport,” Transportation Research Procedia, vol. 55, pp. 1530–1537, 2021, doi: 10.1016/j.trpro.2021.07.142.
[12] W. H. Taufik, “Keandalan Sistem Lintasan Produksi Pemubatan Pipa,” Jurnal Optimasi Sistem Industri, vol. 15, no. 2, pp. 143–154, 2016, doi: https://doi.org/10.25077/josi.v15.n2.p143-154.2016.
[13] Triwulandari, W. Septiani, Analisis Keputusan: Teori dan Implementasi. Nas Media Pustaka, 2022. [Online]. Available: https://books.google.co.id/books?id=_CZlEAAAQBAJ
[14] L. S. Negi and Y. Kharde, "Identifying the root causes for inventory accumulation and prioritizing them using an MCDM-based TOPSIS approach," Modern Supply Chain Research Application, vol. 3, no. 2, pp. 145–154, 2021, doi: 10.1108/mscra-11-2020-0031.
[15] A. Ahmed, A. Naji, and M. L. Tseng, "A decision model for selecting a safety data sheet management system using fuzzy TOPSIS," Journal of Modelling in Management, vol. 15, no. 4, pp. 1515–1541, 2020, doi: 10.1108/JM2-05-2019-0109.
[16] E. Rafiei-Sardooi, A. Azareh, B. Choubin, A. H. Mosavi, and J. J. Clague, "Evaluating urban flood risk using a hybrid method of TOPSIS and machine learning," International Journal of Disaster Risk Reduction, vol. 66, no. July, p. 102614, 2021, doi: 10.1016/j.ijdrr.2021.102614.
[17] K. Velmurugan, S. Saravanasankar, P. Venkumar, R. Sudhakarapandian, and G. Di Bona, "Hybrid fuzzy AHP-TOPSIS framework on human error factor analysis: Implications to developing optimal maintenance management system in the SMEs," Sustainable Futures, vol. 4, no. June, p. 100087, 2022, doi: 10.1016/j.sftr.2022.100087.
[18] S. Bid and G. Siddique, "Human risk assessment of Panchet Dam in India using TOPSIS and WASPAS Multi-Criteria Decision-Making (MCDM) methods," Heliyon, vol. 5, no. 6, p. e01956, 2019, doi: 10.1016/j.heliyon.2019.e01956.
[19] I. G. Widyatmoko Reza Prambudi, "Lean Analysis Framework for Waste Management: A Case of Indonesian Textile Company," Jurnal Optimasi Sistem Industri, vol. 20, no. 1, pp. 11–21, 2021, doi: 10.25077/josi.v20.n1.p11-21.2021.
[20] M. Murni and S. Bosker, Buku Ajar Sistem Pendukung Keputusan Penilaian Hasil Belajar | 1 STMIK Pelita Nusantara Medan, vol. 0, no. April. 2018. [Online]. Available: https://iocscience.org/ejournal/index.php/rm/article/viw/121
[21] A. G. Laphita Sari Simanjuntak, Jijon Raphita Sagala, “Implementasi Sistem Pendukung Keputusan Dengan Metode Ahp Dalam Menentukan Tingkat Kepuasan Pelanggan (Studi Kasus Dinas Koperasi, Usaha Kecil Dan Menengah Kabupaten Deli Serdang),” Jurnal Methodika, vol. 4, no. 1, pp. 20–26, 2018, doi: 10.46880/mtk.v4i1.60.
[22] M. Marzouk and M. Sabbah, "AHP-TOPSIS social sustainability approach for selecting a supplier in construction supply chain," Cleaner Environmental Systems, vol. 2, no. April, p. 100034, 2021, doi: 10.1016/j.cesys.2021.100034.
[23] R. R. Menon and V. Ravi, "Using AHP-TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain," Cleaner Materials, vol. 5, no. September 2021, p. 100130, 2022, doi: 10.1016/j.clema.2022.100130.
[24] D. Willyandi and W. Septiani, “Pengambilan Keputusan Dalam Pemilihan Mesin Filler Syrup Dengan Metode AHP-TOPSIS Pada PT X,” vol. 11, no. 1, 2022.
[25] ISO 9001:2015 Quality management systems - Requirements.
[26] A. E. Khalid Bichou, Michael G.H. Bell, Risk Management In Port Operations, Logitics And Supply Chain Security. 2014.
[27] D. P. Sirait and C. Besiou, “Risk Management At Tanjung Priok Port Container Terminal,” J. Manaj. Transp. Logistik, vol. 04, no. 03, 2017.
[28] T. Notteboom, F. Parola, G. Satta, and T. Torre, “Skills and Competences in Maritime Logistics : Managerial and Organizational Emerging Issues for Human Resources,” no. January, pp. 1–7, 2019, doi: 10.15167/1824-3576/IPEJM2019.3.1240.
[29] J. Pahl, “Maritime Spare Parts Management: Current State-of-the-Art,” Proc. 55th Hawaii Int. Conf. Syst. Sci., vol. 7, pp. 1676–1685, 2022, doi: 10.24251/hicss.2022.207.
[30] Q. Hu, J. E. Boylan, H. Chen, and A. Labib, “OR in spare parts management: A review,” Eur. J. Oper. Res., vol. 266, no. 2, pp. 395–414, 2018, doi: 10.1016/j.ejor.2017.07.058.
[31] T. Fabbri and R. Vicen-Bueno, “Weather-routing system based on METOC navigation risk assessment,” J. Mar. Sci. Eng., vol. 7, no. 5, 2019, doi: 10.3390/jmse7050127.
[32] I.-S. Cho, I.-C. Kim, and Y.-S. Lee, “The Introductory Concept of Maritime Safety Audit as a tool for Identifying Potential Hazards,” J. Navig. Port Res., vol. 34, no. 9, pp. 699–704, 2010, doi: 10.5394/kinpr.2010.34.9.699.
[33] C. A. Nurlailah Badariah, Dedy Sugiarto, “Penerapan Metode Failure Mode and Effect Analysis (FMEA) dan Expert System (Sistem Pakar),” Seminar Nasional Saints dan Teknologi, vol. 1, no. November, pp. 1–10, 2016, [Online]. Available: jurnal.umj.ac.id/index.php/semnastek