Abstract
In this initial research work we show the industrial need to analyze production systems with respect to their resilience. In the LOISI project enterprise models will be developed to support the analysis and management of resilient production processes for half-finished steel products. We describe the software models currently developed and the conceptual integration. We briefly reflect on challenges to be met in a demanding industrial setting.
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Affenzeller, M., et al.: Simulation-based optimization with HeuristicLab: practical guidelines and real-world applications. In: Mujica Mota, M., De La Mota, I.F., Guimarans Serrano, D. (eds.) Applied Simulation and Optimization, pp. 3–38. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-15033-8_1
Barroso, A., Machado, V., Carvalho, H., Machado, V.C.: Quantifying the supply chain resilience, Chap. 2. In: Applications of Contemporary Management Approaches in Supply Chains. IntechOpen, Rijeka (2015). https://doi.org/10.5772/59580
Beham, A., Kofler, M., Wagner, S., Affenzeller, M.: Coupling simulation with HeuristicLab to solve facility layout problems. In: Winter Simulation Conference, pp. 2205–2217 (2009)
Carpenter, S., Walker, B., Anderies, J.M., Abel, N.: From metaphor to measurement: resilience of what to what? Ecosystems 4(8), 765–781 (2001)
Gu, X., Jin, X., Ni, J.: Resilience measures of manufacturing systems under disruptions. In: Proceedings of the ASMA 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 (2014)
Lee, S., Gu, X., Ni, J.: Stochastic maintenance opportunity windows for unreliable two-machine one-buffer system. Expert Syst. Appl. 40, 5385–5394 (2013)
Oppl, S.: Evaluation of collaborative modeling processes for knowledge articulation and alignment. Inf. Syst. e-Bus. Manag. 15(3), 717–749 (2017). https://doi.org/10.1007/s10257-016-0324-9
Oppl, S.: Supporting the collaborative construction of a shared understanding about work with a guided conceptual modeling technique. Group Decis. Negot. 26(2), 247–283 (2017). https://doi.org/10.1007/s10726-016-9485-7
Rydzak, F., Chlebus, E.: Application of resilience analysis in production systems - Bombardier transportation case study. Technical report. Centre for Advanced Manufacturing Technologies, Wroclaw University of Technology, Wroclaw, Poland (2007). https://www.researchgate.net/profile/Edward_Chlebus/publication/252453880_Application_of_Resilience_Analysis_in_Production_Systems_-_Bombardier_Transportation_Case_Study/links/543bce220cf204cab1db3718.pdf
Vasudevan, K.: Selecting simulation abstraction levels in simulation models of complex manufacturing systems. In: Proceedings of the 2011 Winter Simulation Conference, pp. 2268–2277 (2011)
Wagner, S., Affenzeller, M.: HeuristicLab: a generic and extensible optimization environment. In: Ribeiro, B., Albrecht, R.F., Dobnikar, A., Pearson, D.W., Steele, N.C. (eds.) Adaptive and Natural Computing Algorithms, pp. 538–541. Springer, Vienna (2005). https://doi.org/10.1007/3-211-27389-1_130
Wagner, S., et al.: Architecture and design of the HeuristicLab optimization environment. In: Klempous, R., Nikodem, J., Jacak, W., Chaczko, Z. (eds.) Advanced Methods and Applications in Computational Intelligence. TIEI, vol. 6, pp. 197–261. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-319-01436-4_10
Weichhart, G., Stary, C., Vernadat, F.: Enterprise modelling for interoperable and knowledge-based enterprises. Int. J. Prod. Res. 56(8), 2818–2840 (2018). https://doi.org/10.1080/00207543.2017.1406673
Acknowledgement
The research described in this paper has been funded by the Governments of Upper Austria, Styria and the FFG: FFG Project “Logistics Optimisation in Steel Industry (LOISI)” Contract nr.: 855325.
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Steiner, E., Weichhart, G., Beham, A. (2019). Information Systems for Steel Production: The Importance of Resilience. In: Debruyne, C., Panetto, H., Guédria, W., Bollen, P., Ciuciu, I., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2018 Workshops. OTM 2018. Lecture Notes in Computer Science(), vol 11231. Springer, Cham. https://doi.org/10.1007/978-3-030-11683-5_5
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DOI: https://doi.org/10.1007/978-3-030-11683-5_5
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