IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v229y2023ics0951832022004513.html
   My bibliography  Save this article

Modeling and analyzing multiteam coordination task safety risks in socio-technical systems based on FRAM and multiplex network: Application in the construction industry

Author

Listed:
  • Li, Jue
  • Wang, Hongwei

Abstract

The dynamically changing working environment and complex task requirements in modern industries emphasize the necessity of multiteam with different functions to work collaboratively. The multiteam coordination performance dominates the task process and the achievement of the superordinate goal, which will inevitably influence task safety. Although previous research has broadly identified the importance of inter-team cooperation to task performance, the analysis of the relationship between multiteam coordination structure, process, and system safety has not been fully addressed. Moreover, there is still a lack of an effective method to quantitatively analyze the functional interdependencies, interaction processes, and potential safety risks among teams in multiteam coordination tasks. Based on the construction industry background, this study combines FRAM and multiplex network to describe the multiteam coordination structure and task process variability. The relationship between multiteam coordination performance and construction safety risk is qualitatively and quantitatively analyzed. Case studies are adopted to verify the feasibility of the proposed method. The findings demonstrate the method's advantages in revealing the details of the influence of multiteam coordination performance on complex task safety, which is beneficial for developing targeted countermeasures to control safety risks from the perspective of the multiteam system.

Suggested Citation

  • Li, Jue & Wang, Hongwei, 2023. "Modeling and analyzing multiteam coordination task safety risks in socio-technical systems based on FRAM and multiplex network: Application in the construction industry," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
  • Handle: RePEc:eee:reensy:v:229:y:2023:i:c:s0951832022004513
    DOI: 10.1016/j.ress.2022.108836
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832022004513
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2022.108836?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. Patriarca, Riccardo & Bergström, Johan & Di Gravio, Giulio, 2017. "Defining the functional resonance analysis space: Combining Abstraction Hierarchy and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 34-46.
    2. Zhen Li & Xiaofei Lv & Hongming Zhu & Zhaohan Sheng, 2018. "Analysis of Complexity of Unsafe Behavior in Construction Teams and a Multiagent Simulation," Complexity, Hindawi, vol. 2018, pages 1-15, August.
    3. Patriarca, Riccardo & Falegnami, Andrea & Costantino, Francesco & Bilotta, Federico, 2018. "Resilience engineering for socio-technical risk analysis: Application in neuro-surgery," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 321-335.
    4. Martin Hoegl & Katharina Weinkauf, 2005. "Managing Task Interdependencies in Multi‐Team Projects: A Longitudinal Study," Journal of Management Studies, Wiley Blackwell, vol. 42(6), pages 1287-1308, September.
    5. Anvarifar, Fatemeh & Voorendt, Mark Z. & Zevenbergen, Chris & Thissen, Wil, 2017. "An application of the Functional Resonance Analysis Method (FRAM) to risk analysis of multifunctional flood defences in the Netherlands," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 130-141.
    6. Kennedy, Deanna M. & Sommer, S. Amy & Nguyen, Phuong Anh, 2017. "Optimizing multi-team system behaviors: Insights from modeling team communication," European Journal of Operational Research, Elsevier, vol. 258(1), pages 264-278.
    7. Kaya, Gulsum Kubra & Ozturk, Fatih & Sariguzel, Emine Emel, 2021. "System-based risk analysis in a tram operating system: Integrating Monte Carlo simulation with the functional resonance analysis method," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    8. Bugalia, Nikhil & Maemura, Yu & Ozawa, Kazumasa, 2021. "Characteristics of enhanced safety coordination between high-speed rail operators and manufacturers," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    9. Kaya, Gulsum Kubra & Hocaoglu, Mehmet Fatih, 2020. "Semi-quantitative application to the Functional Resonance Analysis Method for supporting safety management in a complex health-care process," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    10. Kim, Yoo Chan & Yoon, Wan Chul, 2021. "Quantitative representation of the functional resonance analysis method for risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    11. Huang, Wencheng & Yin, Dezhi & Xu, Yifei & Zhang, Rui & Xu, Minhao, 2022. "Using N-K Model to quantitatively calculate the variability in Functional Resonance Analysis Method," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    12. Raben, Ditte Caroline & Viskum, Birgit & Mikkelsen, Kim L. & Hounsgaard, Jeanette & Bogh, Søren Bie & Hollnagel, Erik, 2018. "Application of a non-linear model to understand healthcare processes: using the functional resonance analysis method on a case study of the early detection of sepsis," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 1-11.
    13. Zinetullina, Altyngul & Yang, Ming & Khakzad, Nima & Golman, Boris & Li, Xinhong, 2021. "Quantitative resilience assessment of chemical process systems using functional resonance analysis method and Dynamic Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 205(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. Jinfan Zhang & Yun Chen & Da Wang & Yinghui Zhang, 2023. "Learning in MTS of Construction Megaproject: A Conceptual Framework," Sustainability, MDPI, vol. 15(5), pages 1-14, February.

    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. Huang, Wencheng & Yin, Dezhi & Xu, Yifei & Zhang, Rui & Xu, Minhao, 2022. "Using N-K Model to quantitatively calculate the variability in Functional Resonance Analysis Method," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    2. Zhou, Zhengshu & Matsubara, Yutaka & Takada, Hiroaki, 2023. "Resilience analysis and design for mobility-as-a-service based on enterprise architecture modeling," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    3. Mahdieh Delikhoon & Esmaeil Zarei & Osiris Valdez Banda & Mohammad Faridan & Ehsanollah Habibi, 2022. "Systems Thinking Accident Analysis Models: A Systematic Review for Sustainable Safety Management," Sustainability, MDPI, vol. 14(10), pages 1-28, May.
    4. Li, Weijun & He, Min & Sun, Yibo & Cao, Qinggui, 2019. "A proactive operational risk identification and analysis framework based on the integration of ACAT and FRAM," Reliability Engineering and System Safety, Elsevier, vol. 186(C), pages 101-109.
    5. Kaya, Gulsum Kubra & Hocaoglu, Mehmet Fatih, 2020. "Semi-quantitative application to the Functional Resonance Analysis Method for supporting safety management in a complex health-care process," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    6. Wang, Yangpeng & Li, Shuxiang & Lee, Kangkuen & Tam, Hwayaw & Qu, Yuanju & Huang, Jingyin & Chu, Xianghua, 2023. "Accident risk tensor-specific covariant model for railway accident risk assessment and prediction," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    7. Sun, Hao & Yang, Ming & Wang, Haiqing, 2024. "An integrated approach to quantitative resilience assessment in process systems," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    8. Steen, Riana & Ferreira, Pedro, 2020. "Resilient flood-risk management at the municipal level through the lens of the Functional Resonance Analysis Model," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    9. Guo, Yunlong & Jin, Yongxing & Hu, Shenping & Yang, Zaili & Xi, Yongtao & Han, Bing, 2023. "Risk evolution analysis of ship pilotage operation by an integrated model of FRAM and DBN," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    10. Hussein Slim & Sylvie Nadeau, 2020. "A Mixed Rough Sets/Fuzzy Logic Approach for Modelling Systemic Performance Variability with FRAM," Sustainability, MDPI, vol. 12(5), pages 1-21, March.
    11. Kaya, Gulsum Kubra & Ozturk, Fatih & Sariguzel, Emine Emel, 2021. "System-based risk analysis in a tram operating system: Integrating Monte Carlo simulation with the functional resonance analysis method," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    12. Patriarca, Riccardo & Falegnami, Andrea & Costantino, Francesco & Bilotta, Federico, 2018. "Resilience engineering for socio-technical risk analysis: Application in neuro-surgery," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 321-335.
    13. Chao Yin, 2020. "Hazard assessment and regionalization of highway flood disasters in China," 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. 100(2), pages 535-550, January.
    14. Chen, Chao & Yang, Ming & Reniers, Genserik, 2021. "A dynamic stochastic methodology for quantifying HAZMAT storage resilience," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    15. Liu, Zhichen & Li, Ying & Zhang, Zhaoyi & Yu, Wenbo, 2022. "A new evacuation accessibility analysis approach based on spatial information," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    16. Maddah, Negin & Heydari, Babak, 2024. "Building back better: Modeling decentralized recovery in sociotechnical systems using strategic network dynamics," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    17. Rupak Rauniar & Greg Rawski & Donald Hudson, 2017. "Antecedents And Consequences Of Ippd Effectiveness," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(07), pages 1-38, October.
    18. Chen, Hua-Peng & Mehrabani, Mehrdad Bahari, 2019. "Reliability analysis and optimum maintenance of coastal flood defences using probabilistic deterioration modelling," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 163-174.
    19. Guo, Jian & Luo, Cheng & Ma, Kaijiang, 2023. "Risk coupling analysis of road transportation accidents of hazardous materials in complicated maritime environment," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    20. Wang, Yanzhong & Xie, Bin & E, Shiyuan, 2022. "Adaptive relevance vector machine combined with Markov-chain-based importance sampling for reliability analysis," Reliability Engineering and System Safety, Elsevier, vol. 220(C).

    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:229:y:2023:i:c:s0951832022004513. 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.