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Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project

Citations

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Cited by:

  1. Crispim, José & Fernandes, Jorge & Rego, Nazaré, 2020. "Customized risk assessment in military shipbuilding," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
  2. Huang, Wencheng & Zhang, Yue & Kou, Xingyi & Yin, Dezhi & Mi, Rongwei & Li, Linqing, 2020. "Railway dangerous goods transportation system risk analysis: An Interpretive Structural Modeling and Bayesian Network combining approach," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
  3. Gajesh Kumar & Girish Kumar & Pravin Kumar, 2026. "A TISM-Bayesian network hybrid approach for assessing supply chain resilience," Journal of Risk and Reliability, , vol. 240(1), pages 238-260, February.
  4. Jiang, Fengyuan & Dong, Sheng, 2025. "Development of a CNN-based integrated surrogate model in evaluating the damage of buried pipeline under impact loads, considering the soil spatial variability," Reliability Engineering and System Safety, Elsevier, vol. 257(PA).
  5. Yiming Ma & Mingguang Zhang & Mingliang Wang, 2024. "Analysis of accident risk factors in chemical industry based on ISM-BN," Journal of Risk and Reliability, , vol. 238(6), pages 1209-1223, December.
  6. Chen, Yinuo & Xie, Shuyi & Tian, Zhigang, 2022. "Risk assessment of buried gas pipelines based on improved cloud-variable weight theory," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
  7. Qing Deng & Kuo Wang & Jiahao Wu & Feng Yu & Huiling Jiang & Lida Huang, 2023. "An integrated model for evaluating the leakage risk of urban gas pipe: a case study based on Chinese real accident data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 319-340, March.
  8. Mohammad Yazdi, 2019. "A review paper to examine the validity of Bayesian network to build rational consensus in subjective probabilistic failure analysis," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 1-18, February.
  9. Chunchang Zhang & Hu Sun & Yuanyuan Zhang & Gen Li & Shibo Li & Junyu Chang & Gongqian Shi, 2023. "Fire Accident Risk Analysis of Lithium Battery Energy Storage Systems during Maritime Transportation," Sustainability, MDPI, vol. 15(19), pages 1-12, September.
  10. Qazi, Abroon & Dickson, Alex & Quigley, John & Gaudenzi, Barbara, 2018. "Supply chain risk network management: A Bayesian belief network and expected utility based approach for managing supply chain risks," International Journal of Production Economics, Elsevier, vol. 196(C), pages 24-42.
  11. Alisha Lakra & Shubhkirti Gupta & Ravi Ranjan & Sushanta Tripathy & Deepak Singhal, 2022. "The Significance of Machine Learning in the Manufacturing Sector: An ISM Approach," Logistics, MDPI, vol. 6(4), pages 1-15, October.
  12. Zhang, Mingyang & Taimuri, Ghalib & Zhang, Jinfen & Zhang, Di & Yan, Xinping & Kujala, Pentti & Hirdaris, Spyros, 2025. "Systems driven intelligent decision support methods for ship collision and grounding prevention: Present status, possible solutions, and challenges," Reliability Engineering and System Safety, Elsevier, vol. 253(C).
  13. Gaurav Kumar Badhotiya & Gunjan Soni & Vipul Jain & Rohit Joshi & Sameer Mittal, 2022. "Assessing supply chain resilience to the outbreak of COVID-19 in Indian manufacturing firms," Operations Management Research, Springer, vol. 15(3), pages 1161-1180, December.
  14. Kraidi, Layth & Shah, Raj & Matipa, Wilfred & Borthwick, Fiona, 2019. "Analyzing the critical risk factors associated with oil and gas pipeline projects in Iraq," International Journal of Critical Infrastructure Protection, Elsevier, vol. 24(C), pages 14-22.
  15. Hong, Bingyuan & Shao, Bowen & Guo, Jian & Fu, Jianzhong & Li, Cuicui & Zhu, Baikang, 2023. "Dynamic Bayesian network risk probability evolution for third-party damage of natural gas pipelines," Applied Energy, Elsevier, vol. 333(C).
  16. Kraidi, Layth & Shah, Raj & Matipa, Wilfred & Borthwick, Fiona, 2020. "Using stakeholders’ judgement and fuzzy logic theory to analyze the risk influencing factors in oil and gas pipeline projects: Case study in Iraq, Stage II," International Journal of Critical Infrastructure Protection, Elsevier, vol. 28(C).
  17. Nina Shin & Sangwook Park, 2019. "Evidence-Based Resilience Management for Supply Chain Sustainability: An Interpretive Structural Modelling Approach," Sustainability, MDPI, vol. 11(2), pages 1-23, January.
  18. Hosseini, Seyedmohsen & Barker, Kash, 2016. "A Bayesian network model for resilience-based supplier selection," International Journal of Production Economics, Elsevier, vol. 180(C), pages 68-87.
  19. Dosung Kim & Yonghee Kim & Namyong Lee, 2018. "A Study on the Interrelations of Decision-Making Factors of Information System (IS) Upgrades for Sustainable Business Using Interpretive Structural Modeling and MICMAC Analysis," Sustainability, MDPI, vol. 10(3), pages 1-20, March.
  20. Yongbo Li & Bathrinath Sankaranarayanan & D. Thresh Kumar & Ali Diabat, 2019. "Risks assessment in thermal power plants using ISM methodology," Annals of Operations Research, Springer, vol. 279(1), pages 89-113, August.
  21. Yin, Yuanbo & Yang, Hao & Duan, Pengfei & Li, Luling & Zio, Enrico & Liu, Cuiwei & Li, Yuxing, 2022. "Improved quantitative risk assessment of a natural gas pipeline considering high-consequence areas," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
  22. Gaogeng Zhu & Guoming Chen & Jingyu Zhu & Xiangkun Meng & Xinhong Li, 2022. "Modeling the Evolution of Major Storm-Disaster-Induced Accidents in the Offshore Oil and Gas Industry," IJERPH, MDPI, vol. 19(12), pages 1-27, June.
  23. Chen, Qian & Zuo, Lili & Wu, Changchun & Cao, Yankai & Bu, Yaran & Chen, Feng & Sadiq, Rehan, 2021. "Supply reliability assessment of a gas pipeline network under stochastic demands," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
  24. Jayaraman, Deepan & Ramu, Palaniappan, 2023. "L-moments and Bayesian inference for probabilistic risk assessment with scarce samples that include extremes," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
  25. Yang, Yang & Li, Suzhen & Zhang, Pengcheng, 2022. "Data-driven accident consequence assessment on urban gas pipeline network based on machine learning," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
  26. Qazi, Abroon & Quigley, John & Dickson, Alex & Ekici, Şule Önsel, 2017. "Exploring dependency based probabilistic supply chain risk measures for prioritising interdependent risks and strategies," European Journal of Operational Research, Elsevier, vol. 259(1), pages 189-204.
  27. Shengyu Guo & Jiali He & Jichao Li & Bing Tang, 2019. "Exploring the Impact of Unsafe Behaviors on Building Construction Accidents Using a Bayesian Network," IJERPH, MDPI, vol. 17(1), pages 1-15, December.
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