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Developing of a High Level Architecture Based Beer Game Simulation in the Adoxx Environment
Ion Mironescu
Food Engineering And Environmental Protection University Of Sibiu Romania
Abstract: The research presented in this paper has as goal the development of a simulation framework that should support the federated simulation of the classical example in the study of supply chains – the beer (distribution) game. The approach also integrates a systematically modelling methodology – Domain Specific Modelling for the development of simulation federates. By conforming to the High Level Architecture the developed framework has a high degree of interoperability. Although only a proof of concept in scale the resulted framework was verified and validated trough testing with a beer game setting.
Keywords: Beer Game Simulation, ADOxx, Metamodelling Developing of a High Level Architecture Based Beer Game Simulation in the Adoxx Environment
DOI:https://doi.org/10.6025/jet/2019/10/1/15-21
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References:[1] https://beergame.masystem.se/ retrieved 10.01.2019 [2] Götzinger, David., Miron., Elena-Teodora., Staffel., Franz. (2016). OMiLAB: An Open Collaborative Environ-ment for Modeling Method Engineering. 10.1007/978-3-319-39417-6_3. In: DimitrisKaragiannis, Heinrich C. Mayr, John Mylopoulos [3] IEEE 1278.1-2012 - IEEE Standard for Distributed Interactive Simulation—Application Protocols [4] IEEE 1516-2010 - IEEE Standard for Modeling and Simulation (M&S) High Level Architecture (HLA)— Framework and Rules [5] Karagiannis., Dimitris., Mayr., Heinrich, C., Mylopoulos., John. (2016). Domain-Specific Conceptual Modeling: Concepts, Methods and Tools, Springer Publishing Company, Incorporated, 2016 [6] Martinez-Moyano, Ignacio., Rahn, Joel., Spencer, Roberta. (2007). The Beer Game: Its History and Rule Changes. Draft paper Argonne National Laboratory https://www.researchgate.net/publication/238075204_The_Beer_Game_Its_ History_and_Rule_Changes. [7] Oroojlooyjadid., Afshin., Nazari., Mohammad Reza., Snyder., Lawrence., Takáè, Martin. (2017). A Deep Q-Network for the Beer Game: A Reinforcement Learning Algorithm to Solve Inventory Optimization Problems. Neural Information Processing Systems (NIPS), Deep Reinforcement Learning Symposium 2017. [8] Riemer, Kai www.beergame.org retrieved 10.01.2019. [9] Sarkar, BidyutBiman., Nabendu,Chaki. (2012). A Distributed Retail Beer Game for Decision Support System, Procedia - Social and Behavioral Sciences, 65, 2012, 278-284. [10]Topçu O., Oðuztüzün H. (2017) HighLevelArchitecture. In: Guide to Distributed Simulation with HLA. Simulation Foundations, Methods and Applications. Springer, Cham. [11] Tu, Zhiying., Zacharewicz., Gregory ., Chen, David. (2011). Developing a web-enabled HLA federate based on poRTIco RTI. Proceedings - Winter Simulation Conference. 10.1109.

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