Distributed simulation: state-of-the-art and potential for operational research
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DOI: 10.1016/j.ejor.2018.04.032
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Cited by:
- Chiang, Nai-Yuan & Lin, Yiqing & Long, Quan, 2020. "Efficient propagation of uncertainties in manufacturing supply chains: Time buckets, L-leap, and multilevel Monte Carlo methods," Operations Research Perspectives, Elsevier, vol. 7(C).
- Swan, Jerry & Adriaensen, Steven & Brownlee, Alexander E.I. & Hammond, Kevin & Johnson, Colin G. & Kheiri, Ahmed & Krawiec, Faustyna & Merelo, J.J. & Minku, Leandro L. & Özcan, Ender & Pappa, Gisele L, 2022. "Metaheuristics “In the Large”," European Journal of Operational Research, Elsevier, vol. 297(2), pages 393-406.
- Kendrik Yan Hong Lim & Pai Zheng & Chun-Hsien Chen, 2020. "A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1313-1337, August.
- Simon Gorecki & Jalal Possik & Gregory Zacharewicz & Yves Ducq & Nicolas Perry, 2020. "A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation," Sustainability, MDPI, vol. 12(17), pages 1-26, August.
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Keywords
Simulation; Distributed Simulation; Operational Research; e-Science; Big Data; Industry 4.0;All these keywords.
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