Publications and references


  • Kotiadis, K, and Tako, AA (2016): ‘A Facilitation Workshop for the Implementation Stage: A Case Study In Health Care’, in Anagnostou, A, Hoad, K, and Kunc, M (eds):Proceedings of the Operational Research Society Simulation Workshop 2016 (SW16), Stratford, Worcestershire, 165-174.
  • Tako, AA, and Kotiadis, K (2015): PartiSim: ‘A Multi-Methodology Framework to Support Facilitated Simulation Modelling in Healthcare’, European Journal of Operational Research, 244(2), 555-564, DOI: 10.1016/j.ejor.2015.01.046.
  • Kotiadis, K, Tako, AA, and Vasilakis, C (2014):‘A Participative and Facilitative Conceptual Modelling Framework for Discrete-Event Simulation Studies in Healthcare’, Journal of the Operational Research Society, 65(2), 197-213.
  • Tako, AA, Kotiadis, K, Vasilakis, C, Miras, A, and Le Roux, CW (2014): ‘Improving Patient Waiting Times: A Simulation Study of an Obesity Care Service’, BMJ Quality and Safety, 23, 373-381, DOI: 10.1136/bmjqs-2013-002107.
  • Tako, AA, and Kotiadis, K (2012):‘Facilitated Conceptual Modelling: Practical Issues and Reflections’, in Laroque, C, Himmelspach, J, Pasupathy, R, Rose, O, and Uhrmacher, AM (eds): Proceedings of the 2012 Winter Simulation Conference, Berlin, Germany, 406-417,
  • Tako, AA, and Kotiadis, K (2012): ‘Proposing a Participative Modelling Framework for Discrete-Event Simulation Studies’, in 45th Hawaii International Conference of Systems Support (HICSS-45), Maui, Hawaii, USA, 207-215, ISBN: 978-0-7695-4525-7.
  • Tako, AA, Kotiadis, K, and Vasilakis, C (2010): ‘A Conceptual Modelling Framework for Stakeholder Participation in Simulation Studies’, inProceedings of the 2010 Operational Research Society Simulation Conference (SW10),Worcestershire, UK, 76-85.
  • Tako, AA, Vasilakis, C, and Kotiadis, K (2010): ‘A Participative Modelling Framework for Developing Conceptual Models in Healthcare Simulation Studies’, in Proceedings of the 2010 Winter Simulation Conference, 500-512,


  • Phillips C. & Nikolopoulos K.: ‘Participative simulation and collaborative model design used to manage uncertainty and align production with demand’, Working paper, Bangor University
  • Simul8 – EMAS experiment:
  • SIMTEGR8 project:
  • Monks, T. Robinson, S, and Kotiadis, K (2016): ‘Can Involving Clients in Simulation Studies Help Them Solve Their Future Problems? A Transfer of Learning Experiment’, European Journal of Operational Research, 249(3), 919-930,
  • Tako, AA (2014): ‘Exploring the Model Development Process in Discrete-Event Simulation: Insights from Six Expert Modellers’, Journal of the Operational Research Society, 66(5), 747-760.
  • Pidd, M (2007): ‘Making Sure You Tackle the Right Problem: Linking Hard and Soft Methods in Simulation Practice’, in Henderson, SG, Biller, B, Hsieh, MH, Shortle, J, Tew, JD, and Barton, RR (eds): Proceedings of the 2007 Winter Simulation Conference, Piscataway, New Jersey, Institute of Electrical and Electronics Engineers Inc, 1977-1985.
  • Shannon, RE (1998): ‘Introduction to the Art and Science of Simulation’, in Medeiros, EFWDJ, Carson, JS, and Manivannan, MS (eds):Proceedings of the 30th conference on Winter Simulation, Washington DC, United States, IEEE Computer Society Press, 7-14.