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Editorial

Editorial: 10th Anniversary post-simulation workshop 2021 special issue

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References

  • Abuhay, T. M., Robinson, S., Mamuye, A., & Kovalchuk, S. V. (2023). Machine learning integrated patient flow simulation: Why and how? Journal of Simulation, 1–14. https://doi.org/10.1080/17477778.2023.2217334
  • Anagnostou, A., & Tako, A. (2021). Introduction to the workshop. In M. Fakhimi, D. Robertson, & T. Boness (Eds.), Proceedings of the Operational Research Society Simulation Conference 2021 (SW21), Online, 22-26 March, 2021. UK OR Society.
  • Cheng, R., Dye, C., Dagpunar, J., & Williams, B. (2023). Modelling presymptomatic infectiousness in COVID-19. Journal of Simulation, 1–12. https://doi.org/10.1080/17477778.2023.2190467
  • Conlon, M., & Molloy, O. (2023). Modelling a computed tomography service using mixed operational research methods. Journal of Simulation, 1–13. https://doi.org/10.1080/17477778.2022.2152394
  • Herrera, H., & Kopainsky, B. (2022). Using microworlds for policymaking in the context of resilient farming systems. Journal of Simulation, 1–25. https://doi.org/10.1080/17477778.2022.2083990
  • Linnéusson, G., & Goienetxea Uriarte, A. (2023). Learning from simulating with system dynamics in healthcare: Evaluating closer care strategies for elderly patients. Journal of Simulation, 1–23. https://doi.org/10.1080/17477778.2023.2232768
  • Nieto, A., Serra, M., Juan, A. A., & Bayliss, C. (2022). A GA-simheuristic for the stochastic and multi-period portfolio optimisation problem with liabilities. Journal of Simulation, 1–14. https://doi.org/10.1080/17477778.2022.2041990
  • Robinson, S., & Taylor, S. J. (2022). Celebrating the 10th simulation workshop: The story of the conference series. Journal of Simulation, 1–8.
  • Tsioptsias, N., Tako, A. A., & Robinson, S. (2022). Are “wrong” models useful? A qualitative study of discrete event simulation modeller stories. Journal of Simulation, 1–13. https://doi.org/10.1080/17477778.2022.2108736

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