Evolution of the Functional Resonance Analysis Method (FRAM) through the combination with other methods

  1. Pardo-Ferreira, M. C.
  2. Martínez-Rojas, M. 1
  3. Salguero-Caparrós, F. 1
  4. Rubio-Romero, J. C. 1
  1. 1 Escuela de Ingenierías Industriales Dpto. de Economía y Administración de Empresas Universidad de Málaga Calle Doctor Ortiz Ramos s/n. 29071, Málaga
Revista:
Dirección y organización: Revista de dirección, organización y administración de empresas

ISSN: 1132-175X

Ano de publicación: 2019

Número: 68

Páxinas: 41-50

Tipo: Artigo

DOI: 10.37610/DYO.V0I68.550 DIALNET GOOGLE SCHOLAR lock_openAcceso aberto editor

Outras publicacións en: Dirección y organización: Revista de dirección, organización y administración de empresas

Resumo

Traditionally, simple and complex linear models were used to analyze accidents and find their causes. The Resilience Engineering breaks with the traditional way of understanding safety focused on things that go wrong. In this way, the concept of safety is redefined to focus on things that go well. The new paradigm of Resilience Engineering emphasizes that when things go well in difficult circumstances, it is mainly due to the ability of workers to adapt, that is, their ability to recognize and absorb unexpected changes and events. In this new context, Functional Resonance Analysis Method enables to model how a system works and to understand the variability in daily performance. The objective of this research study is to present the main approaches that combine other methods with FRAM with the aim of improving it, as for example: Monte Carlo simulation, Fuzzy Logic theory, Model Checking, Analytical Hierarchical Process methodologies and Abstraction Hierarchy. Notice that the present study develops a non-exhaustive review of the methods that appears most frequently in the scientific Literature. The search process has been carried out in the main scientific databases such as Web of Knowledge, Science Direct or Google Scholar since they are identified as relevant to the research domain. In order to obtain adequate results concerning the objective of this work, we consider “Functional Resonance Analysis Method” as terms to perform the search in the title, abstract and keyword fields. After the data collection process, a total of 22 documents were obtained. Subsequently, all the retrieved documents were filtered by selecting those publications that had the purpose of combining the FRAM with another method to define the function variability in a semi-quantitative or quantitative manner. Then, after this filtering process, 18 studies were analysed and presented from diverse perspectives. Firstly, an analysis was conducted to explore the evolution of this research domain over time. As a result of this analysis, a growing trend in the publication of research is observed, both journal documents and conference documents. Secondly, an analysis concerning the sector where the study is focused is detailed since all the analyzed studies included an application example of their proposal. In this sense, the aviation sector was the one that appeared most frequently, followed by the maritime sector. Thirdly, the distribution of analysed studies on the basis of the country of authors has been presented, being Italy and China the reference countries in this research domain. Following, an analysis in relation to the journals where the documents are published is conducted. Finally, the proposals were grouped according to the different approaches that were combined with FRAM. As a general conclusion, the analysis of the new FRAM approaches shows that all the authors coincide in preserving the theoretical basis of FRAM for modeling complex systems. Despite this, there is still no approach that prevails over others and future research should continue to advance the evolution the Functional Resonance Analysis Method with the aim to facilitate the risk assessments in complex systems.Keywords: Functional Resonance Analysis Method; Resilience Engineering, Complex systems; Risk assessment; Safety.

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Información de financiamento

We wish to thank the Spanish Ministry of Economy and Competitiveness for financing project BIA2016-79270-P, of which this paper forms a part, and the postdoctoral contract (FJCI-2015-24093). It is also important to acknowledge the Ministry of Education, Culture and Sports of the Government of Spain for it support through the predoctoral contracts (FPU 2016/03298)

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Referencias bibliográficas

  • BELLINI, E., NESI, P., PANTALEO, G. y VENTURI, A. (2016). «Functional resonance analysis method based-decision support tool for urban transport system resilience management». In: 2016 IEEE International Smart Cities Conference (ISC2). Smart Cities Conference (ISC2), 2016 IEEE International, pp. 1–7.
  • BELLINI, E., CERAVOLO, P. y NESI, P. (2017). «Quantify resilience enhancement of UTS through exploiting Connected Community and Internet of Everything emerging technologies». ACM Ref. Format TBD ACM Trans Internet Technol Artic. 9.
  • DUAN, G., TIAN, J. y WU, J. (2015). «Extended FRAM by Integrating with Model Checking to Effectively Explore Hazard Evolution». Mathematical Problems in Engineering, 2015, pp. 1–11.
  • HADDAD, A. N. y ROSA, L. V. (2015). «Construction sustainability evaluation using AHP and FRAM methods». In IIE Annual Conference. Proceedings (p. 556). Institute of Industrial and Systems Engineers (IISE)
  • HEINRICH, H.W., (1931). Industrial Accident Prevention. Ed. McGraw Hill, NewYork.
  • HIROSE, T., SAWARAGI, T. y HORIGUCHI, Y. (2016). «Safety Analysis of Aviation Flight-Deck Procedures Using Systemic Accident Model». In: IFAC-PapersOnLine. Elsevier, pp. 19–24.
  • HOLLNAGEL, E. (1998). Cognitive reliability and error analysis method (CREAM). Ed. Elsevier.
  • HOLLNAGEL, E. (2004). Barriers and accident prevention: or how to improve safety by understanding the nature of accidents rather than finding their causes. Hampshire: Ashgate.
  • HOLLNAGEL, E., WODDS, D. y LEVESON, N. (2007). Resilience Engineering: Concepts and Precepts. Ashgate Publishing, Ltd.
  • HOLLNAGEL, E. (2012). FRAM: The functional resonance analysis method. Modelling complex socio-technical systems. CRC Press.
  • JENSEN, A. y AVEN, T. (2017). «Hazard/threat identification: Using functional resonance analysis method in conjunction with the Anticipatory Failure Determination method». Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(4), pp. 383-389.
  • LUNDBERG, J. y WOLTJER, R. (2013). «The Resilience Analysis Matrix (RAM): Visualizing functional dependencies in complex socio-technical systems». In 5th Resilience Engineering Association Symposium Soesterberg (The Netherlands), pp. 25-27.
  • PATRIARCA, R., BERGSTRÖM, J. y BERGSTROM, J. (2017a). «Modelling complexity in everyday operations: functional resonance in maritime mooring at quay». Cognition, Technology & Work, 19(4), pp. 711-729.
  • PATRIARCA, R., BERGSTRÖM, J. y DI GRAVIO, G. (2017b). «Defining the functional resonance analysis space: Combining Abstraction Hierarchy and FRAM». Reliability Engineering & System Safety, 165, pp. 34-46.
  • PATRIARCA, R., DI GRAVIO, G. y COSTANTINO, F. (2017c). «A Monte Carlo evolution of the Functional Resonance Analysis Method (FRAM) to assess performance variability in complex systems». Safety Science, 91, pp. 49–60
  • PATRIARCA, R., DI GRAVIO, G., COSTANTINO, F. y TRONCI, M. (2017d). «The Functional Resonance Analysis Method for a systemic risk based environmental auditing in a sinter plant: A semi-quantitative approach». Environmental Impact Assessment Review, 63, pp. 72-86.
  • PATRIARCA, R., DEL PINTO, G., DI GRAVIO, G. y COSTANTINO, F. (2018). «FRAM for Systemic Accident Analysis: A Matrix Representation of Functional Resonance». Int. J. Reliab. Qual. Saf. Eng. 1850001.
  • PATRIARCA, R., DI GRAVIO, G., GIULIO, D. G., y COSTANTINO, F. (2018). «FRAM for systemic accident analysis: a matrix representation of functional resonance». International Journal of Reliability, Quality and Safety Engineering, 25(01), 1850001.
  • PERROW, C. (1984). Normal accidents. Living with high risk technologies. Basico books. New York.
  • REASON, J. (1997). Managing the Risks of Organisational Accidents. Ashgate Publishing Ltd, Aldershot Hants, U.K.
  • ROSA, L.V., HADDAD, A.N. y DE CARVALHO, P.V.R. (2015). «Assessing risk in sustainable construction using the Functional Resonance Analysis Method (FRAM)». Cognition, Technology & Work, 17(4), pp. 559-573.
  • ROSA, L.V., FRANCA, J.E.M., HADDAD, A.N. y CARVALHO, P.V.R., (2017). «A Resilience Engineering Approach for Sustainable Safety in Green Construction». Journal of Sustainable Development of Energy, Water and Environment Systems-JSDEWES, 5, pp. 480–495.
  • RUBIO-ROMERO, J. C., PARDO-FERREIRA, M. C., ROJAS-MARTÍNEZ, M., LÓPEZ-ARQUILLOS, A., y SUAREZ-CEBADOR, M. (2019). «Resilience Engineering: Concepts of the New Paradigm». In Engineering Digital Transformation (pp. 133-140). Springer, Cham.
  • STOPP, J. y DEKKER, S. (2012): «Are safety investigations pro-active?». Safety Science, 50, pp. 1422-1430.
  • TIAN, J., WU, J., YANG, Q. y ZHAO, T. (2016). «FRAMA: A safety assessment approach based on Functional Resonance Analysis Method». Safety Science, 85, pp. 41–52.
  • UNG, S.T. (2015). «A weighted CREAM model for maritime human reliability analysis». Safety Science, 72, pp. 144–152.
  • YANG, Q., TIAN, J. y ZHAO, T. (2017). «Safety is an emergent property: Illustrating functional resonance in Air Traffic Management with formal verification». Safety Science, 93, pp. 162–177.
  • ZHENG, Z. Y TIAN, J. (2015). «Bridging the gap between FRAM and safety practice by applying FSM and model checking». In: 2015 First International Conference on Reliability Systems Engineering (ICRSE). IEEE, pp. 1–6.
  • ZHENG, Z., TIAN, J. y ZHAO, T. (2016). «Refining operation guidelines with model-checking-aided FRAM to improve manufacturing processes: a case study for aeroengine blade forging». Cognition, Technology & Work, 18(4), pp. 777-791.
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