Proceedings of the 2020 Winter Simulation Conference K.-H. Bae, B. Feng, S. Kim, S. Lazarova-Molnar, Z. Zheng, T. Roeder, and R. Thiesing, eds. SCALABLE, RECONFIGURABLE SIMULATION MODELS IN INDUSTRY4.0-ORIENTED ENTERPRISE MODELING Mahdi El Alaoui El Abdellaoui Emmanuel Bricard elm.leblanc – Innovation Center of Operations Bosch Group, Thermotechnology Division Drancy, 93700, FRANCE Fr´ ed´ eric Grimaud Paolo Gianessi Xavier Delorme Mines Saint- ´ Etienne, Univ. Clermont Auvergne CNRS, UMR 6158 LIMOS, Institut Henri Fayol F-42023, Saint- ´ Etienne, FRANCE ABSTRACT The increasingly unpredictable demand is among the major challenges of Industry 4.0, asking manufacturing systems (MS) for a capacity of adaptation that accelerates the decision processes. Decision Support Systems (DSS), and among them Simulation-based DSS, must therefore result from new Enterprise Modeling (EM) frameworks, capable of taking advantage of advances in data integration and processing possibilities. After briefly introducing such a new EM framework, MEMO I4.0, this article shows how to use it to derive scalable, flexible simulation models, so as to improve and monitor the MS processes and finally address this challenge. An example to generate a simulation model for a real case study is presented. 1 INTRODUCTION In the new era of Industry 4.0, market complexity is increasing more and more, and due to new customer requirements for product customization and the globalization concept, customer demand becomes more difficult to predict leading to the development of new business models (Pereira and Romero 2017). Therefore, companies should have flexible and reconfigurable Manufacturing Systems (MS), as the product life cycle is shorter, competitiveness has increased and involves new investments and business strategies. Thus, the production methods are completely impacted, and the same goes for the Enterprise Modeling (EM) methodologies. In the Last three decades, EM frameworks have been used to describe the MS from the conceptual analysis of an industrial activity to the implementation of a Decision Support Systems (DSS). The decision support at different levels according to the time horizon allows to monitor key performance and react to unpredictable events (Roboam et al. 1989). More and more often, EMs integrate simulation-based DSS (Barjis 2011). The evolution of industrial paradigms imposes the evolution of DSS, which should not only include the uncertain aspect, but also be redesigned and implemented in parallel to the MS, if not in advance (Felsberger et al. 2016). However, the more recent EMs, inspite of integrating at the conceptual level the specific concepts of Industry 4.0, are not yet able to carry out the modeling up to the implementation of an agile, quickly reconfigurable simulation-based DSS. In this article, we propose a new EM framework, MEMO I4.0, which has this conceptual-to- implementation feature, and focus on its ability to generate a MS simulation model and to quickly scale it up, or reconfigure it, whenever a new configuration of the MS is at study. After reviewing the literature of the most known EM frameworks and their limits in Section 2, Section 3 briefly introduces MEMO I4.0 that is used in Section 4 to implement a reconfigurable MS simulation model. In Section 5, a case study inspired from a real case of elm.leblanc company is presented. Finally, Section 6 concludes this work. 2755 978-1-7281-9499-8/20/$31.00 ©2020 IEEE