生産システムシミュレーションにおけるデータ駆動型マルチスケールモデリングアプローチの提案(単工程システムを対象としたモデル同定に関する基礎検討)
Author:
Affiliation:
1. Center for Technology Innovation – Connective Automation., Research and Development Group, Hitachi, Ltd.
2. Graduate School of System Informatics, Kobe University
Publisher
Japan Society of Mechanical Engineers
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/transjsme/89/928/89_23-00205/_pdf
Reference15 articles.
1. Barlas, P. and Heavey C., Automation of input data to discrete event simulation for manufacturing: A review, International Journal of Modeling. Simulation and Scientific Computing, Vol. 7 (2016), No.1630001.
2. Choi, H., Ohmori, S. and Yoshimoto, K., Improvement of particle swarm optimization: Proposal of R-best model and parameter adjustment with consideration to searching phase and state, 21st International Conference on Production Research (2011), pp. 2079-2083.
3. Gola, A., Pastuszak, Z., Relich, M., Sobaszek, L. and Szwark, E., Scalability analysis of selected structures of a reconfigurable manufacturing system taking into account a reduction in machine tools reliability, Eksploatacia i Niezawodnosc – Maintenance and Reliability, Vol. 23, Issue 2 (2021), pp.242-252.
4. Hibino, H., State-of-the-art of Simulation in Manufacturing System. Journal of the Society of Instrument and Control Engineers, Vol. 52, No. 1 (2013), pp. 29-34.
5. Hu, X. and Wu, P., A data assimilation framework for discrete event simulations, ACM Transactions on Modeling and Computer Simulation, Vol. 29, No. 3 (2019), Article 17.
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