IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v165y2017icp34-46.html
   My bibliography  Save this article

Defining the functional resonance analysis space: Combining Abstraction Hierarchy and FRAM

Author

Listed:
  • Patriarca, Riccardo
  • Bergström, Johan
  • Di Gravio, Giulio

Abstract

System-thinking and related systemic methods enhance traditional risk and hazard assessments and accident analysis, as well as system design. The Functional Resonance Analysis Method (FRAM) is a recently developed method for systemic analysis. FRAM facilitates descriptions of the functional relations among system elements. In case of large systems (e.g. several agents, multiple procedures, many technical equipment), building a FRAM model may become a difficult task, moreover resulting in a complex model, with limited benefits for the purpose of the analysis.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:165:y:2017:i:c:p:34-46
    DOI: 10.1016/j.ress.2017.03.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832016302514
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2017.03.032?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. Sujan, Mark, 2015. "An organisation without a memory: A qualitative study of hospital staff perceptions on reporting and organisational learning for patient safety," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 45-52.
    2. Belmonte, Fabien & Schön, Walter & Heurley, Laurent & Capel, Robert, 2011. "Interdisciplinary safety analysis of complex socio-technological systems based on the functional resonance accident model: An application to railway trafficsupervision," Reliability Engineering and System Safety, Elsevier, vol. 96(2), pages 237-249.
    3. Gressgård, Leif Jarle & Hansen, Kåre, 2015. "Knowledge exchange and learning from failures in distributed environments: The role of contractor relationship management and work characteristics," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 167-175.
    4. Herrera, I.A. & Woltjer, R., 2010. "Comparing a multi-linear (STEP) and systemic (FRAM) method for accident analysis," Reliability Engineering and System Safety, Elsevier, vol. 95(12), pages 1269-1275.
    5. Sujan, Mark A., 2012. "A novel tool for organisational learning and its impact on safety culture in a hospital dispensary," Reliability Engineering and System Safety, Elsevier, vol. 101(C), pages 21-34.
    6. Shirali, Gh.A. & Mohammadfam, I. & Ebrahimipour, V., 2013. "A new method for quantitative assessment of resilience engineering by PCA and NT approach: A case study in a process industry," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 88-94.
    7. Woltjer, Rogier & Pinska-Chauvin, Ella & Laursen, Tom & Josefsson, Billy, 2015. "Towards understanding work-as-done in air traffic management safety assessment and design," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 115-130.
    8. Praetorius, Gesa & Hollnagel, Erik & Dahlman, Joakim, 2015. "Modelling Vessel Traffic Service to understand resilience in everyday operations," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 10-21.
    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. Song, Xueying & Qi, Lei & Liu, Shiyan & Ding, Shuiting & Li, Daqing, 2024. "Simple analysis of complex system safety based on Finite State Machine Network and phase space theory," Reliability Engineering and System Safety, Elsevier, vol. 249(C).
    2. 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.
    3. 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.
    4. Liu, Jintao & Schmid, Felix & Zheng, Wei & Zhu, Jiebei, 2019. "Understanding railway operational accidents using network theory," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 218-231.
    5. Read, G.J.M. & Naweed, A. & Salmon, P.M., 2019. "Complexity on the rails: A systems-based approach to understanding safety management in rail transport," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 352-365.
    6. 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.
    7. 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.
    8. Monkhouse, Helen E. & Habli, Ibrahim & McDermid, John, 2020. "An enhanced vehicle control model for assessing highly automated driving safety," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    9. 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).
    10. 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).
    11. 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).
    12. 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).
    13. 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).
    14. 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).

    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. 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).
    2. 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).
    3. 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.
    4. Hernandez-Perdomo, Elvis & Guney, Yilmaz & Rocco, Claudio M., 2019. "A reliability model for assessing corporate governance using machine learning techniques," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 220-231.
    5. Santos, Paula Luisa Costa Teixeira & Monteiro, Paulo Adelino Antunes & Studic, Milena & Majumdar, Arnab, 2017. "A methodology used for the development of an Air Traffic Management functional system architecture," Reliability Engineering and System Safety, Elsevier, vol. 165(C), pages 445-457.
    6. Simsekler, Mecit Can Emre & Rodrigues, Clarence & Qazi, Abroon & Ellahham, Samer & Ozonoff, Al, 2021. "A comparative study of patient and staff safety evaluation using tree-based machine learning algorithms," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    7. Praetorius, Gesa & Hollnagel, Erik & Dahlman, Joakim, 2015. "Modelling Vessel Traffic Service to understand resilience in everyday operations," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 10-21.
    8. 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.
    9. Sujan, Mark A. & Embrey, David & Huang, Huayi, 2020. "On the application of Human Reliability Analysis in healthcare: Opportunities and challenges," Reliability Engineering and System Safety, Elsevier, vol. 194(C).
    10. Lijie, Chen & Tao, Tang & Xianqiong, Zhao & Schnieder, Eckehard, 2012. "Verification of the safety communication protocol in train control system using colored Petri net," Reliability Engineering and System Safety, Elsevier, vol. 100(C), pages 8-18.
    11. Sarah Maslen & Jan Hayes & Janice Wong & Christina Scott-Young, 2020. "Witch hunts and scapegoats: an investigation into the impact of personal liability concerns on engineers’ reporting of risks," Environment Systems and Decisions, Springer, vol. 40(3), pages 413-426, September.
    12. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
    13. Vendrell-Herrero, Ferran & Bustinza, Oscar F. & Opazo-Basaez, Marco, 2021. "Information technologies and product-service innovation: The moderating role of service R&D team structure," Journal of Business Research, Elsevier, vol. 128(C), pages 673-687.
    14. Felipe Aguirre & Mohamed Sallak & Walter Schön & Fabien Belmonte, 2013. "Application of evidential networks in quantitative analysis of railway accidents," Journal of Risk and Reliability, , vol. 227(4), pages 368-384, August.
    15. Antonovsky, A. & Pollock, C. & Straker, L., 2016. "System reliability as perceived by maintenance personnel on petroleum production facilities," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 58-65.
    16. Yoon, Young Sik & Ham, Dong-Han & Yoon, Wan Chul, 2016. "Application of activity theory to analysis of human-related accidents: Method and case studies," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 22-34.
    17. Labaka, Leire & Hernantes, Josune & Sarriegi, Jose M., 2015. "Resilience framework for critical infrastructures: An empirical study in a nuclear plant," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 92-105.
    18. Sujan, Mark, 2015. "An organisation without a memory: A qualitative study of hospital staff perceptions on reporting and organisational learning for patient safety," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 45-52.
    19. Zhou, Jian-Lan & Lei, Yi & Chen, Yang, 2019. "A hybrid HEART method to estimate human error probabilities in locomotive driving process," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 80-89.
    20. Wu, Chao & Huang, Lang, 2019. "A new accident causation model based on information flow and its application in Tianjin Port fire and explosion accident," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 73-85.

    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:165:y:2017:i:c:p:34-46. 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.