Risk Assessment of Work Accident in Container Terminals Using the Fault Tree Analysis Method

Journal of Marine Science and Engineering - Tập 8 Số 6 - Trang 466
Muhammad Arif Budiyanto1, Haris Fernanda1
1Department of Mechanical Engineering, Universitas Indonesia, Kampus Baru UI Depok, Jawa Barat 16424, Indonesia

Tóm tắt

The use of containers in the world is increasing every year in line with international trade flows. In very complex container terminal operations, the risk of work accidents is inevitable and can happen at any time. Therefore, this paper aimed to identify accidents and potential risks occurring in the container terminals. For the case study, the analysis was used the data of accidents during five years in one of the major container terminals in Indonesia. Risk assessment is carried out using the risk matrix method to get the level of risk. The risk that has the highest level is analyzed by using the Fault Tree Analysis method. From the results of the risk assessment shows the container fell to the berth when loading and unloading have the highest risk value. While the results of the Fault Tree Analysis show that traffic accidents are the biggest potential risk, which is 41.8% compared to other accidents. Moreover, human factors especially due to the negligence in operating vehicles or equipment as well as the damage of equipment were the highest common causes of accidents in the container terminal. Based on these results the contribution offered is the risk control options for terminal operators to reduce the possibility of safety failure in the container terminal.

Từ khóa


Tài liệu tham khảo

Comtois, 1999, The integration of China’s port system into global container shipping, GeoJournal, 48, 35, 10.1023/A:1007088719533

Kutin, 2017, Relative Efficiencies of ASEAN Container Ports based on Data Envelopment Analysis, Asian J. Shipp. Logist., 33, 67, 10.1016/j.ajsl.2017.06.004

Karam, 2016, A Lagrangian relaxation approach for the integrated quay crane and internal truck assignment in container terminals, Int. J. Logist. Syst. Manag., 24, 113

Karam, 2019, Integrating collaborative and outsourcing strategies for yard trucks assignment in ports with multiple container terminals, Int. J. Logist. Syst. Manag., 32, 372

Budiyanto, 2019, Simulation study using building-design energy analysis to estimate energy consumption of refrigerated container, Energy Procedia, 156, 207, 10.1016/j.egypro.2018.11.129

Karam, A., Eltawil, A., and Reinau, K.H. (2020). Energy-efficient and integrated allocation of berths, quay cranes, and internal trucks in container terminals. Sustainability, 12.

Huzaifi, 2020, Study on the carbon emission evaluation in a container port based on energy consumption data, Evergreen, 7, 97, 10.5109/2740964

Budiyanto, 2020, Energy efficiency on the reefer container storage yard; An analysis of thermal performance of installation roof shade, Energy Reports, Volume 6, 686, 10.1016/j.egyr.2019.11.138

Kwak, D.-W. (2014). Risk Management in International Container Logistics Operations: Risk Analysis and Mitigating Strategies. [Ph.D. Thesis, Cardiff Business School Cardiff University].

Chang, 2015, Risk analysis for container shipping: From a logistics perspective, Int. J. Logist. Manag., 26, 147, 10.1108/IJLM-07-2012-0068

Hong Kong Marine Department (2016). Casualties in Cargo Handling Accidents in 2016, Hong Kong Marine Department.

Health and Safety Executive (2019). Transportation and Storage Statistics in Great Britain, 2019, Health and Safety Executive.

Health and Safety Executive (2012). Statistics report for the Ports Industry 2012/13p, Health and Safety Executive.

2017, Port Risk Management in Container Terminals, Transp. Res. Procedia, 25, 4411, 10.1016/j.trpro.2017.05.337

National Transportation Safety Committee (2016). Investigation of Shipping Accident Data 2010–2016, National Transportation Safety Committee.

Darbra, 2004, Historical analysis of accidents in seaports, Saf. Sci., 42, 85, 10.1016/S0925-7535(03)00002-X

Chang, 2019, Selection of effective risk mitigation strategies in container shipping operations, Marit. Bus. Rev., 4, 413, 10.1108/MABR-04-2019-0013

Haimes, 2006, On the Definition of Vulnerabilities in Measuring Risks to Infrastructures, Risk Anal., 26, 293, 10.1111/j.1539-6924.2006.00755.x

Haimes, 2009, On the Complex Definition of Risk: A Systems-Based Approach, Risk Anal., 29, 1647, 10.1111/j.1539-6924.2009.01310.x

Chlomoudis, 2011, Quality and safety systems for the port industry: Empirical evidence for the main Greek ports, Eur. Transp. Res. Rev., 3, 85, 10.1007/s12544-010-0043-0

Hamka, 2017, Safety Risks Assessment on Container Terminal Using Hazard Identification and Risk Assessment and Fault Tree Analysis Methods, Procedia Eng., 194, 307, 10.1016/j.proeng.2017.08.150

Varriale, 2019, Management Control Systems in port waste management: Evidence from Italy, Util. Policy, 56, 127, 10.1016/j.jup.2018.12.001

Solari, 2012, The wind forecast for safety management of port areas, J. Wind Eng. Ind. Aerodyn., 104, 266, 10.1016/j.jweia.2012.03.029

Corrigan, 2019, Human factors and safety culture: Challenges and opportunities for the port environment, Saf. Sci., 119, 252, 10.1016/j.ssci.2018.03.008

Shang, 2010, A Risk Analysis of Stevedoring Operations in Seaport Container Terminals, J. Mar. Sci. Technol., 18, 201, 10.51400/2709-6998.2319

Ding, 2013, Fuzzy risk assessment on safety operations for exclusive container terminals at Kaohsiung port in Taiwan, Proc. Inst. Mech. Eng. Part M J. Eng. Marit. Environ., 227, 208

Alyami, 2014, An advanced risk analysis approach for container port safety evaluation, Marit. Policy Manag., 41, 634, 10.1080/03088839.2014.960498

Mabrouki, 2014, A decision support methodology for risk management within a port terminal, Saf. Sci., 63, 124, 10.1016/j.ssci.2013.09.015

Abdelgawad, 2010, Risk Management in the Construction Industry Using Combined Fuzzy FMEA and Fuzzy AHP, J. Constr. Eng. Manag., 136, 1028, 10.1061/(ASCE)CO.1943-7862.0000210

Yang, 2014, A new risk quantification approach in port facility security assessment, Transp. Res. Part A Policy Pract., 59, 72, 10.1016/j.tra.2013.10.025

Trbojevic, 2000, Risk based methodology for safety improvements in ports, J. Hazard. Mater., 71, 467, 10.1016/S0304-3894(99)00094-1

Bearzotti, 2013, The Event Management Problem in a Container Terminal, J. Appl. Res. Technol., 11, 95, 10.1016/S1665-6423(13)71518-9

Yang, 2011, Risk management of Taiwan’s maritime supply chain security, Saf. Sci., 49, 382, 10.1016/j.ssci.2010.09.019

Yang, 2010, Impact of the container security initiative on Taiwan’s shipping industry, Marit. Policy Manag., 37, 699, 10.1080/03088839.2010.524737

Bearzotti, 2012, An autonomous multi-agent approach to supply chain event management, Int. J. Prod. Econ., 135, 468, 10.1016/j.ijpe.2011.08.023

Chlomoudis, 2016, A Risk Assessment Methodology in Container Terminals: The Case Study of the Port Container Terminal of Thessalonica, Greece, J. Traffic Transp. Eng., 4, 251

Marhavilas, 2011, Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000–2009, J. Loss Prev. Process Ind., 24, 477, 10.1016/j.jlp.2011.03.004

Kadir, 2020, An Advanced Risk Matrix Analysis Approach for Safety Evaluation at Major Ports in Malaysia, J. Adv. Res. Bus. Manag. Stud., 18, 31

International Labour Organization (2018). Safety and Health in Ports, International Labour Organization.

Lu, 2010, Safety leadership and safety behavior in container terminal operations, Saf. Sci., 48, 123, 10.1016/j.ssci.2009.05.003

Lu, 2005, An empirical investigation of safety climate in container terminal operators, J. Saf. Res., 36, 297, 10.1016/j.jsr.2005.05.002

Berle, 2011, Formal Vulnerability Assessment of a maritime transportation system, Reliab. Eng. Syst. Saf., 96, 696, 10.1016/j.ress.2010.12.011