IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v123y2014icp91-98.html
   My bibliography  Save this article

MMOSA – A new approach of the human and organizational factor analysis in PSA

Author

Listed:
  • Farcasiu, M.
  • Prisecaru, I.

Abstract

The results of many Probabilistic Safety Assessment (PSA) studies show a very significant contribution of human errors to nuclear installations failure.

Suggested Citation

  • Farcasiu, M. & Prisecaru, I., 2014. "MMOSA – A new approach of the human and organizational factor analysis in PSA," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 91-98.
    • Handle: RePEc:eee:reensy:v:123:y:2014:i:c:p:91-98
    DOI: 10.1016/j.ress.2013.10.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832013002883
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2013.10.004?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. Galán, S.F. & Mosleh, A. & Izquierdo, J.M., 2007. "Incorporating organizational factors into probabilistic safety assessment of nuclear power plants through canonical probabilistic models," Reliability Engineering and System Safety, Elsevier, vol. 92(8), pages 1131-1138.
    2. Mohaghegh, Zahra & Kazemi, Reza & Mosleh, Ali, 2009. "Incorporating organizational factors into Probabilistic Risk Assessment (PRA) of complex socio-technical systems: A hybrid technique formalization," Reliability Engineering and System Safety, Elsevier, vol. 94(5), pages 1000-1018.
    3. Groth, Katrina & Wang, Chengdong & Mosleh, Ali, 2010. "Hybrid causal methodology and software platform for probabilistic risk assessment and safety monitoring of socio-technical systems," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1276-1285.
    4. Lin, Yufei & Chen, Maoyin & Zhou, Donghua, 2013. "Online probabilistic operational safety assessment of multi-mode engineering systems using Bayesian methods," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 150-157.
    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. Filho, Anastácio Pinto Gonçalves & Souza, Carlos Augusto & Siqueira, Eduardo Luiz Bonecker & Souza, Mozart Anderson & Vasconcelos, Tales Pinheiro, 2019. "An analysis of helicopter accident reports in Brazil from a human factors perspective," Reliability Engineering and System Safety, Elsevier, vol. 183(C), pages 39-46.

    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. Justin Pence & Zahra Mohaghegh, 2020. "A Discourse on the Incorporation of Organizational Factors into Probabilistic Risk Assessment: Key Questions and Categorical Review," Risk Analysis, John Wiley & Sons, vol. 40(6), pages 1183-1211, June.
    2. Pence, Justin & Sakurahara, Tatsuya & Zhu, Xuefeng & Mohaghegh, Zahra & Ertem, Mehmet & Ostroff, Cheri & Kee, Ernie, 2019. "Data-theoretic methodology and computational platform to quantify organizational factors in socio-technical risk analysis," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 240-260.
    3. Chiming Guo & Shiyu Gong & Lin Tan & Bo Guo, 2012. "Extended GTST‐MLD for Aerospace System Safety Analysis," Risk Analysis, John Wiley & Sons, vol. 32(6), pages 1060-1071, June.
    4. Mkrtchyan, L. & Podofillini, L. & Dang, V.N., 2015. "Bayesian belief networks for human reliability analysis: A review of applications and gaps," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 1-16.
    5. Carole Duval & Geoffrey Fallet-Fidry & Benoît Iung & Philippe Weber & Eric Levrat, 2012. "A Bayesian network-based integrated risk analysis approach for industrial systems: application to heat sink system and prospects development," Journal of Risk and Reliability, , vol. 226(5), pages 488-507, October.
    6. Zhou, Jianfeng & Reniers, Genserik & Khakzad, Nima, 2016. "Application of event sequence diagram to evaluate emergency response actions during fire-induced domino effects," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 202-209.
    7. Groth, Katrina M. & Swiler, Laura P., 2013. "Bridging the gap between HRA research and HRA practice: A Bayesian network version of SPAR-H," Reliability Engineering and System Safety, Elsevier, vol. 115(C), pages 33-42.
    8. Stephen Thomas & Katrina M Groth, 2023. "Toward a hybrid causal framework for autonomous vehicle safety analysis," Journal of Risk and Reliability, , vol. 237(2), pages 367-388, April.
    9. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    10. J Vatn, 2012. "Can we understand complex systems in terms of risk analysis?," Journal of Risk and Reliability, , vol. 226(3), pages 346-358, June.
    11. Sven Ove Hansson & Terje Aven, 2014. "Is Risk Analysis Scientific?," Risk Analysis, John Wiley & Sons, vol. 34(7), pages 1173-1183, July.
    12. Eichhorn Colombo, Konrad W., 2023. "Financial resilience analysis of floating production, storage and offloading plant operated in Norwegian Arctic region: Case study using inter-/transdisciplinary system dynamics modeling and simulatio," Energy, Elsevier, vol. 268(C).
    13. Inger Lise Johansen & Marvin Rausand, 2014. "Defining complexity for risk assessment of sociotechnical systems: A conceptual framework," Journal of Risk and Reliability, , vol. 228(3), pages 272-290, June.
    14. Bui, Ha & Sakurahara, Tatsuya & Pence, Justin & Reihani, Seyed & Kee, Ernie & Mohaghegh, Zahra, 2019. "An algorithm for enhancing spatiotemporal resolution of probabilistic risk assessment to address emergent safety concerns in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 405-428.
    15. A Léger & P Weber & E Levrat & C Duval & R Farret & B Iung, 2009. "Methodological developments for probabilistic risk analyses of socio-technical systems," Journal of Risk and Reliability, , vol. 223(4), pages 313-332, December.
    16. Kenneth Pettersen Gould, 2021. "Organizational Risk: “Muddling Through” 40 Years of Research," Risk Analysis, John Wiley & Sons, vol. 41(3), pages 456-465, March.
    17. Montewka, Jakub & Ehlers, Sören & Goerlandt, Floris & Hinz, Tomasz & Tabri, Kristjan & Kujala, Pentti, 2014. "A framework for risk assessment for maritime transportation systems—A case study for open sea collisions involving RoPax vessels," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 142-157.
    18. Schroer, Suzanne & Modarres, Mohammad, 2013. "An event classification schema for evaluating site risk in a multi-unit nuclear power plant probabilistic risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 117(C), pages 40-51.
    19. Gh. A. Shirali & D. Kh. Afshin & K. Ahamadi Angali & Sh. Rostam Niakan Kalhori, 2022. "Modelling and assessing the influence of organizational culture norms on safety culture using Bayesian networks approach: the case of an oil industry," 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. 13(1), pages 304-317, February.
    20. Tsagkas, Vassilis & Nathanael, Dimitris & Marmaras, Nicolas, 2014. "A pragmatic mapping of factors behind deviating acts in aircraft maintenance," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 106-114.

    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:123:y:2014:i:c:p:91-98. 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.