Abstract
The domain-specific modeling method SIMchronization was originally developed to analyze and optimize industrial maintenance supply chains. The use of graphical models extended with behavior-describing rules and combined with discrete simulation, reveals the dynamic interactions of supply chain elements, IT-systems, and the resulting information and material flows.
This paper presents the basic meta-model and mechanisms of the modeling method and proposes a modeling procedure to achieve comprehensible supply chain models. Furthermore, this approach incorporates model verification, as the simulation algorithm requires syntactically correct and input-wise complete models, and the graphical flow animation enables practical verification by domain experts. A proof of concept illustrates the practicability of the approach which is discussed in a SWOT analysis.
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References
Park, O.-C., Gittelman, S.: Selective use of animation and feedback in computer-based instruction. ETR&D 40, 27–38 (1992)
Tversky, B., Morrison, J.B., Betrancourt, M.: Animation: can it facilitate? International Journal of Human-Computer Studies 57, 247–262 (2002)
Thompson, S.V., Riding, R.J.: The Effect of Animated Diagrams on the Understanding of a Mathematical Demonstration in 11- to 14-Year-Old Pupils. British Journal of Educational Psychology 60, 93–98 (1990)
Prackwieser, C.: SIMchronization: a method supporting the synchronisation of information and material flows. In: Proceedings of the Winter Simulation Conference, Berlin, Germany, pp. 1–2 (2012)
Prackwieser, C.: SIMchronization: Eine Modellierungsmethode zur Synchronisation von Material- und Informationsflüssen in der Instandhaltung. In: 11th International Conference on Wirtschaftsinformatik, Leipzig (2013)
Fabry, C., Schmitz-Urban, A.: Maintenance Supply Chain Optimisation within an IT-Platform: Network Service Science and Management. In: 2010 International Conference on Management and Service Science (MASS), pp. 1–4 (2010)
Iung, B., Levrat, E., Marquez, A.C., Erbe, H.: Conceptual framework for e-Maintenance: Illustration by e-Maintenance technologies and platforms. Annual Reviews in Control 33, 220–229 (2009)
BOC Information Technologies Consulting AG: Method - BPMS (Business Process Management System), http://www.boc-group.com/products/adonis/method-bpms/
Prackwieser, C., Buchmann, R., Grossmann, W., Karagiannis, D.: Towards a generic hybrid simulation algorithm based on a semantic mapping and rule evaluation approach. In: Wang, M. (ed.) KSEM 2013. LNCS, vol. 8041, pp. 147–160. Springer, Heidelberg (2013)
Breitling, H., Kornstadt, A., Sauer, J.: Design Rationale in Exemplary Business Process Modeling. Rationale Management in Software Engineering 191 (2006)
Hofer, S.: Instances over Algorithms: A Different Approach to Business Process Modeling. In: Johannesson, P., Krogstie, J., Opdahl, A.L. (eds.) PoEM 2011. LNBIP, vol. 92, pp. 25–37. Springer, Heidelberg (2011)
Open Model Initiative - Open Model Project - eGPM, http://www.openmodels.at
Borshchev, A., Filippov, A.: From system dynamics and discrete event to practical agent based modeling: reasons, techniques, tools (2004)
Lorenz, T., Jost, A.: Towards an orientation framework in multi-paradigm modeling. In: Proceedings of the 24th International Conference of the System Dynamics Society, Nijmegen (2006)
OMG Model Driven Architecture, http://www.omg.org/mda/
Petzmann, A., Puncochar, M., Kuplich, C., Orensanz, D.: Applying MDA Concepts to Business Process Management. In: Fischer, L. (ed.) BPM AND Workflow Handbook, vol. 103-116, Future Strategies Inc. (2007)
Braun, C., Wortmann, F., Hafner, M., Winter, R.: Method construction - a core approach to organizational engineering. In: Proceedings of the 2005 ACM Symposium on Applied Computing, pp. 1295–1299. ACM, Santa Fe (2005)
Schruben, L.W., Roeder, T.M.: Fast Simulations of Large-Scale Highly Congested Systems. SIMULATION 79, 115–125 (2003)
Supply Chain Council Inc.: Supply Chain Operations Reference (SCOR®) model; Overview - Version 10.0 (2010)
Karagiannis, D., Kühn, H.: Metamodelling platforms. In: Bauknecht, K., Tjoa, A.M., Quirchmayr, G. (eds.) EC-Web 2002. LNCS, vol. 2455, p. 182. Springer, Heidelberg (2002)
Production Rule Representation (PRR). Version 1.0, vol. formal/2009-12-01 (2009)
Mylopoulos, J., Chung, L., Yu, E.: From object-oriented to goal-oriented requirements analysis. Commun. ACM 42, 31–37 (1999)
Sargent, R.G.: Verification and validation of simulation models. Journal of Simulation 7, 12–24 (2013)
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Prackwieser, C. (2014). A Modeling Procedure for Information and Material Flow Analysis Comprising Graphical Models, Rules and Animated Simulation. In: Buchmann, R., Kifor, C.V., Yu, J. (eds) Knowledge Science, Engineering and Management. KSEM 2014. Lecture Notes in Computer Science(), vol 8793. Springer, Cham. https://doi.org/10.1007/978-3-319-12096-6_18
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DOI: https://doi.org/10.1007/978-3-319-12096-6_18
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