Abstract
Increasing industrial resilience is a big challenge for manufacturing enterprises that are continuously facing severe accidents causing injuries, casualties, and economic losses. Assessing industrial resilience requires the analysis of production processes in order to find possible safety flaws. Sociotechnical process management suffers often from misalignments of process descriptions according to formal organization documents or manager views (Work-As-Imagined) and actual work practices as performed by sharp-end operators (Work-As-Done). Furthermore, existing modelling approaches leveraging on techniques such as process mining from digital traces cannot be used to solve such misalignments as these traces are often hardly available. In this context, we propose a computational creativity approach for a semantics-driven transition from Work-As-Imagined to Work-As-Done process models based on the functional resonance analysis method (FRAM). In particular, through formalized semantics, it will be possible to use automatic reasoning for identification of criticalities and prioritization of normal work analyses. To this aim, we introduce some examples of rule patterns, inspired by typical data quality issues, which can be automatically applied to guide such a transition. An explorative case study on chemical cleaning for industrial process is presented to clarify the proposed approach.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Dinh, L. T. T., Pasman, H., Gao, X., & Mannan, M. S. (2012). Resilience engineering of industrial processes: Principles and contributing factors. Journal of Loss Prevention in the Process Industries, 25(2), 233–241.
Mourtzis, D., Doukas, M., & Bernidaki, D. (2014). Simulation in manufacturing: Review and challenges. Procedia CIRP, 25, 213–229.
Bloemen, V., van Zelst, S., van der Aalst, W., van Dongen, B., & van de Pol, J. (2019). Aligning observed and modelled behaviour by maximizing synchronous moves and using milestones. Information Systems, pre-print.
Lee, W. L. J., Verbeek, H. M. W., Munoz-Gama, J., van der Aalst, W. M. P., & Sepúlveda, M. (2018). Recomposing conformance: Closing the circle on decomposed alignment-based conformance checking in process mining. Information Sciences, 466, 55–91.
De Nicola, A., Melchiori, M., & Villani, M. L. (2019). Creative design of emergency management scenarios driven by semantics: An application to smart cities. Information Systems, 81, 21–48.
Hollnagel, E. (2012). FRAM: The functional resonance analysis method—modelling complex socio-technical systems, Ashgate.
Hollnagel, E. (2010). The ETTO principle: efficiency-thoroughness trade-off—Why things that go right sometimes go wrong. Risk Analysis, 30, 153–154.
Shorrock, S. (2016). The varieties of human work | humanistic systems, Steven Shorrock blog—Humanist System, 1–10.
Woods, D. D., & Hollnagel E. (2006). Prologue: Resilience engineering concepts. In E. Hollnagel, D. D. Woods, & N. Leveson (Eds.), Resilience Engineering: Concepts and Precepts (pp. 1–6). Ashgate Publishing.
Colton, S., & Wiggins, G. A. (2012). Computational creativity: The final frontier? In Proceeding of the 20th European Conference on Artificial Intelligence, pp. 21–26.
De Nicola, A., Vicoli, G., Villani, M. L., Patriarca, R. & Falegnami, A.: Enhancement of Safety Imagination in Socio-Technical Systems with Gamification and Computational Creativity. In Enhancing Safety: The Challenge of Foresight. Proceedings of the 53rd ESReDA Seminar Hosted by the European Commission Joint Research Centre (pp. 158–169) 14–15 November 2017, Ispra, Italy.
De Nicola, A., Missikoff, M., & Navigli, R. (2009). A software engineering approach to ontology building. Information Systems, 34(2), 258–275.
Industrial Ontologies Foundry (IOF) website, https://www.industrialontologies.org. Last accessed 7 November 2019.
Pipino, L. L., Lee, Y. W., & Wang, R. Y. (2002). Data quality assessment. Communications of the ACM, 45(4), 211–218.
Acknowledgements
This work is partially supported by the H(CS)2I project, which is funded by the Italian National Institute for Insurance against Accidents at Work (INAIL) and Institution of Occupational Safety and Health (IOSH) under the 2018 SAF€RA EU funding scheme.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Costantino, F. et al. (2023). Transition from Work-As-Imagined to Work-As-Done Processes Through Semantics: An Application to Industrial Resilience Analysis. In: Archimède, B., Ducq, Y., Young, B., Karray, H. (eds) Enterprise Interoperability IX. I-ESA 2020. Proceedings of the I-ESA Conferences, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-030-90387-9_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-90387-9_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-90386-2
Online ISBN: 978-3-030-90387-9
eBook Packages: EngineeringEngineering (R0)