IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v244y2024ics0951832024000188.html
   My bibliography  Save this article

An improved failure mode and effect analysis method for group decision-making in utility tunnels construction project risk evaluation

Author

Listed:
  • Zhang, Pei
  • Zhang, Zhen-Ji
  • Gong, Da-Qing

Abstract

The risk factors of utility tunnels construction project (UTCPs) are diverse and complex, which can easily lead to serious accidents. And these accidents are usually the result of ignoring the most serious risk sources due to the lack of comprehensive risk evaluations. Therefore, this paper proposes an improved failure mode and effect analysis (FMEA) multi-criteria group decision model for utility tunnels construction project risk evaluation. First, expert groups are invited to evaluate the project risk failure modes, and k-means clustering is used to group the experts and form the aggregated matrix. Then, the CCSD (correlation coefficient and standard deviation) method, regret theory and MULTIMOORA method are used to rank the failure modes. Subsequently, the superiority of the model is illustrated by sensitive and comparative analyzes through a case study of the utility tunnels construction project for Beijing Winter Olympics. Finally, a systematic application model is proposed to provide some decision basis for project risk management.

Suggested Citation

  • Zhang, Pei & Zhang, Zhen-Ji & Gong, Da-Qing, 2024. "An improved failure mode and effect analysis method for group decision-making in utility tunnels construction project risk evaluation," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
  • Handle: RePEc:eee:reensy:v:244:y:2024:i:c:s0951832024000188
    DOI: 10.1016/j.ress.2024.109943
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024000188
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2024.109943?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lin, Song-Shun & Shen, Shui-Long & Zhou, Annan & Xu, Ye-Shuang, 2021. "Novel model for risk identification during karst excavation," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    2. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    3. Fu, Xiuwen & Yang, Yongsheng, 2021. "Analysis on invulnerability of wireless sensor networks based on cellular automata," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    4. Li, Ying & Liu, Peide & Li, Gang, 2023. "An asymmetric cost consensus based failure mode and effect analysis method with personalized risk attitude information," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    5. 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).
    6. Wang, Xiaoting & Triantaphyllou, Evangelos, 2008. "Ranking irregularities when evaluating alternatives by using some ELECTRE methods," Omega, Elsevier, vol. 36(1), pages 45-63, February.
    7. Xue, Gang & Liu, Shifeng & Ren, Long & Gong, Daqing, 2024. "Risk assessment of utility tunnels through risk interaction-based deep learning," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    8. Wu, Jiansong & Bai, Yiping & Fang, Weipeng & Zhou, Rui & Reniers, Genserik & Khakzad, Nima, 2021. "An Integrated Quantitative Risk Assessment Method for Urban Underground Utility Tunnels," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    9. Liu, Peide & Li, Ying, 2021. "An improved failure mode and effect analysis method for multi-criteria group decision-making in green logistics risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    10. Xue, Gang & Liu, Shifeng & Ren, Long & Gong, Daqing, 2023. "A data aggregation-based spatiotemporal model for rail transit risk path forecasting," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    11. Leping He & Guoli Ma & Qijun Hu & Qijie Cai & Yu Bai & Shuang Tang & Jie Tan, 2019. "A Novel Method for Risk Assessment of Cable Fires in Utility Tunnel," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-14, October.
    12. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    13. Xin, Xuri & Liu, Kezhong & Loughney, Sean & Wang, Jin & Yang, Zaili, 2023. "Maritime traffic clustering to capture high-risk multi-ship encounters in complex waters," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    14. Dhalmahapatra, Krantiraditya & Garg, Ashish & Singh, Kritika & Xavier, Nirmal Francis & Maiti, J., 2022. "An integrated RFUCOM – RTOPSIS approach for failure modes and effects analysis: A case of manufacturing industry," Reliability Engineering and System Safety, Elsevier, vol. 221(C).
    15. Hai, Nan & Gong, Daqing & Liu, Shifeng & Dai, Zixuan, 2022. "Dynamic coupling risk assessment model of utility tunnels based on multimethod fusion," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    16. Sun, Yu & Li, He & Sun, Liping & Guedes Soares, C., 2023. "Failure Analysis of Floating Offshore Wind Turbines with Correlated Failures," Reliability Engineering and System Safety, Elsevier, vol. 238(C).
    17. Jianbing Chen & Yupeng Song & Jie Li, 2023. "Structural Global Reliability Analysis of Floating Offshore Wind Turbines," Springer Books, in: Michel Fathi & Enrico Zio & Panos M. Pardalos (ed.), Handbook of Smart Energy Systems, pages 583-606, Springer.
    Full references (including those not matched with items on IDEAS)

    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. Georgia Perakis & Guillaume Roels, 2008. "Regret in the Newsvendor Model with Partial Information," Operations Research, INFORMS, vol. 56(1), pages 188-203, February.
    2. Jinyi Hu, 2023. "Linguistic Multiple-Attribute Decision Making Based on Regret Theory and Minimax-DEA," Mathematics, MDPI, vol. 11(20), pages 1-14, October.
    3. Martín Egozcue & Xu Guo & Wing-Keung Wong, 2015. "Optimal output for the regret-averse competitive firm under price uncertainty," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 279-295, December.
    4. Jhunjhunwala, Tanushree, 2021. "Searching to avoid regret: An experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 298-319.
    5. van Dijk, Wilco W. & van der Pligt, Joop, 1997. "The Impact of Probability and Magnitude of Outcome on Disappointment and Elation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 69(3), pages 277-284, March.
    6. Enrico G. De Giorgi & Thierry Post, 2011. "Loss Aversion with a State-Dependent Reference Point," Management Science, INFORMS, vol. 57(6), pages 1094-1110, June.
    7. van Dijk, W.W. & Zeelenberg, M. & van der Pligt, J., 1999. "Not having what you want versus having what you don't want : The impact of the type of negative outcome on the experience of disappointment and related emotions," Other publications TiSEM 5d1661b1-db82-4773-8ac4-5, Tilburg University, School of Economics and Management.
    8. Olivier Chanel & Graciela Chichilnisky, 2009. "The influence of fear in decisions: Experimental evidence," Journal of Risk and Uncertainty, Springer, vol. 39(3), pages 271-298, December.
    9. Soora Rasouli & Harry Timmermans, 2017. "Specification of regret-based models of choice behaviour: formal analyses and experimental design based evidence," Transportation, Springer, vol. 44(6), pages 1555-1576, November.
    10. Pedro Bordalo & Nicola Gennaioli & Andrei Shleifer, 2013. "Salience and Consumer Choice," Journal of Political Economy, University of Chicago Press, vol. 121(5), pages 803-843.
    11. Raquel M. Gaspar & Paulo M. Silva, 2023. "Investors’ perspective on portfolio insurance," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 22(1), pages 49-79, January.
    12. Yuval Rottenstreich & Alex Markle & Johannes Müller-Trede, 2023. "Risky Sure Things," Management Science, INFORMS, vol. 69(8), pages 4707-4720, August.
    13. Ulrich Schmidt & Stefan Traub, 2009. "An Experimental Investigation of the Disparity Between WTA and WTP for Lotteries," Theory and Decision, Springer, vol. 66(3), pages 229-262, March.
    14. Herweg, Fabian, 2013. "The expectation-based loss-averse newsvendor," Economics Letters, Elsevier, vol. 120(3), pages 429-432.
    15. Meimei Xia & Jian Chen & Juliang Zhang, 2015. "Multi-criteria decision making based on relative measures," Annals of Operations Research, Springer, vol. 229(1), pages 791-811, June.
    16. Gang Chen & Mark S. Daskin & Zuo‐Jun Max Shen & Stanislav Uryasev, 2006. "The α‐reliable mean‐excess regret model for stochastic facility location modeling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(7), pages 617-626, October.
    17. Broll, Udo & Welzel, Peter & Wong, Kit Pong, 2014. "Multinational firm, exchange rate risk and the impact of regret on trade," Dresden Discussion Paper Series in Economics 04/14, Technische Universität Dresden, Faculty of Business and Economics, Department of Economics.
    18. Emerson Melo, 2021. "Learning in Random Utility Models Via Online Decision Problems," Papers 2112.10993, arXiv.org, revised Aug 2022.
    19. Peng Jing & Mengxuan Zhao & Meiling He & Long Chen, 2018. "Travel Mode and Travel Route Choice Behavior Based on Random Regret Minimization: A Systematic Review," Sustainability, MDPI, vol. 10(4), pages 1-20, April.
    20. Fershtman, Chaim, 1996. "On the value of incumbency managerial reference points and loss aversion," Journal of Economic Psychology, Elsevier, vol. 17(2), pages 245-257, April.

    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:eee:reensy:v:244:y:2024:i:c:s0951832024000188. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.