IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i3p1094-d727677.html
   My bibliography  Save this article

Improving Safety Management through Analysis of Near-Miss Reports—A Tanker Ship Case Study

Author

Listed:
  • Nermin Hasanspahić

    (Maritime Department, University of Dubrovnik, 20000 Dubrovnik, Croatia)

  • Srđan Vujičić

    (Maritime Department, University of Dubrovnik, 20000 Dubrovnik, Croatia)

  • Miho Kristić

    (Maritime Department, University of Dubrovnik, 20000 Dubrovnik, Croatia)

  • Mario Mandušić

    (Independent Researcher, 20000 Dubrovnik, Croatia)

Abstract

A near-miss management system (NMMS) is a tool used for improving safety at sea if adequately implemented. Valuable knowledge to improve safety management might be gained by investigating and analysing reported events. Therefore, it is of the utmost importance to report each observed near-miss event. Because tankers are generally considered dangerous, but at the same time safe due to stringent requirements, near-miss reports and NMMS policy were collected from one oil tanker ship. Data were pre-processed and analysed. Variables used during analysis were near-miss type, risk level, ship position, and onboard location of near-miss occurrence. Analysis of policy and reports revealed that most near misses occurred on the deck area, but higher-risk-level events were reported in the engine room and navigating bridge. Housekeeping, equipment failure, use of personal protective equipment (PPE), and process-/procedure-related events were most common and generally related to lower risk levels. The most frequent corrective actions recorded were implementing safe working practices and PPE. In addition, higher-risk-level events were related to less effective corrective actions. Based on the findings, suggestions for improvements include promoting safe behaviour and adequate PPE usage through additional training, ensuring proper housekeeping, regular maintenance of shipboard equipment and spare parts management, and toolbox meetings and risk assessments that include conclusions of near-miss investigations and analysis.

Suggested Citation

  • Nermin Hasanspahić & Srđan Vujičić & Miho Kristić & Mario Mandušić, 2022. "Improving Safety Management through Analysis of Near-Miss Reports—A Tanker Ship Case Study," Sustainability, MDPI, vol. 14(3), pages 1-19, January.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1094-:d:727677
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/3/1094/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/3/1094/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Junayed Pasha & Maxim A. Dulebenets & Masoud Kavoosi & Olumide F. Abioye & Oluwatosin Theophilus & Hui Wang & Raphael Kampmann & Weihong Guo, 2020. "Holistic tactical-level planning in liner shipping: an exact optimization approach," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-35, December.
    2. Dulebenets, Maxim A., 2018. "A comprehensive multi-objective optimization model for the vessel scheduling problem in liner shipping," International Journal of Production Economics, Elsevier, vol. 196(C), pages 293-318.
    3. Dui, Hongyan & Zheng, Xiaoqian & Wu, Shaomin, 2021. "Resilience analysis of maritime transportation systems based on importance measures," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karolien van Nunen & Genserik Reniers & Koen Ponnet, 2022. "Measuring Safety Culture Using an Integrative Approach: The Development of a Comprehensive Conceptual Framework and an Applied Safety Culture Assessment Instrument," IJERPH, MDPI, vol. 19(20), pages 1-39, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhao, Xian & He, Zongda & Wu, Yaguang & Qiu, Qingan, 2022. "Joint optimization of condition-based performance control and maintenance policies for mission-critical systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    2. Guangying Jin & Wei Feng & Qingpu Meng, 2022. "Prediction of Waterway Cargo Transportation Volume to Support Maritime Transportation Systems Based on GA-BP Neural Network Optimization," Sustainability, MDPI, vol. 14(21), pages 1-24, October.
    3. Monfared, M.A.S. & Rezazadeh, Masoumeh & Alipour, Zohreh, 2022. "Road networks reliability estimations and optimizations: A Bi-directional bottom-up, top-down approach," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    4. Zhou, Yusheng & Li, Xue & Yuen, Kum Fai, 2022. "Holistic risk assessment of container shipping service based on Bayesian Network Modelling," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    5. Hongyan Dui & Kaixin Liu & Shaomin Wu, 2024. "Data-driven reliability and resilience measure of transportation systems considering disaster levels," Annals of Operations Research, Springer, vol. 340(1), pages 217-243, September.
    6. Marc-Antoine Faure & Bárbara Polo Martin & Fabio Cremaschini & César Ducruet, 2024. "Shipping Trade and Geopolitical Turmoils: The Case of the Ukrainian Maritime Network," EconomiX Working Papers 2024-24, University of Paris Nanterre, EconomiX.
    7. Michalis P. Michaelides & Herodotos Herodotou & Mikael Lind & Richard T. Watson, 2019. "Port-2-Port Communication Enhancing Short Sea Shipping Performance: The Case Study of Cyprus and the Eastern Mediterranean," Sustainability, MDPI, vol. 11(7), pages 1-22, March.
    8. César Ducruet, 2023. "Shipping network analysis: state-of-the-art and application to the global financial crisis," Post-Print halshs-04588340, HAL.
    9. Dui, Hongyan & Chen, Shuanshuan & Wang, Jia, 2021. "Failure-oriented maintenance analysis of nodes and edges in network systems," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    10. Dui, Hongyan & Zhang, Chi & Tian, Tianzi & Wu, Shaomin, 2022. "Different costs-informed component preventive maintenance with system lifetime changes," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    11. Maxim A. Dulebenets, 2018. "A Diploid Evolutionary Algorithm for Sustainable Truck Scheduling at a Cross-Docking Facility," Sustainability, MDPI, vol. 10(5), pages 1-23, April.
    12. Fu, Xiuwen & Wang, Ye & Yang, Yongsheng & Postolache, Octavian, 2022. "Analysis on cascading reliability of edge-assisted Internet of Things," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    13. Dulebenets, Maxim A., 2019. "A Delayed Start Parallel Evolutionary Algorithm for just-in-time truck scheduling at a cross-docking facility," International Journal of Production Economics, Elsevier, vol. 212(C), pages 236-258.
    14. Setareh Boshrouei Shargh & Mostafa Zandieh & Ashkan Ayough & Farbod Farhadi, 2024. "Scheduling in services: a review and bibliometric analysis," Operations Management Research, Springer, vol. 17(2), pages 754-783, June.
    15. Dui, Hongyan & Liu, Meng & Song, Jiaying & Wu, Shaomin, 2023. "Importance measure-based resilience management: Review, methodology and perspectives on maintenance," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    16. Wang, Wenzhuo & He, Yihai & Liao, Ruoyu & Cai, Yuqi & Zheng, Xin & Zhao, Yu, 2022. "Mission reliability driven functional healthy state modeling approach considering production rhythm and workpiece quality for manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    17. Guo, Shu & Lyu, Jing, 2024. "Evolution and stability of liner shipping networks in Northeast Asia from 2018 to 2022," Transport Policy, Elsevier, vol. 158(C), pages 159-174.
    18. Xu, Mengqiao & Deng, Wenhui & Zhu, Yifan & LÜ, Linyuan, 2023. "Assessing and improving the structural robustness of global liner shipping system: A motif-based network science approach," Reliability Engineering and System Safety, Elsevier, vol. 240(C).
    19. Vasileios Kapsalis & Grigorios Kyriakopoulos & Miltiadis Zamparas & Athanasios Tolis, 2021. "Investigation of the Photon to Charge Conversion and Its Implication on Photovoltaic Cell Efficient Operation," Energies, MDPI, vol. 14(11), pages 1-16, May.
    20. Wu, Congshan & Zhao, Xian & Wang, Siqi & Song, Yanbo, 2022. "Reliability analysis of consecutive-k-out-of-r-from-n subsystems: F balanced systems with load sharing," Reliability Engineering and System Safety, Elsevier, vol. 228(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:3:p:1094-:d:727677. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.