Book Review: Tuncer Ören,Bernard P. Zeigler,Andreas Tolk,Simulation foundations,methods and applications: body of knowledge for modeling and simulation,2023

Ören T Kant U Sing M , et al. M&S Bok Core areas and the big picture. In: Ören T Zeigler BP Tolk A (eds) Body of knowledge for modeling and simulation: a handbook by the society for modeling and simulation international. Cham: Springer, 2023, pp. 21–75.

Akpan IJ Shanker M Offodile OF. Discrete-event simulation is still alive and strong: evidence from bibliometric performance evaluation of research during COVID-19 global health pandemic. Int Trans Oper Res 2024; 31: 2069–2092.

Bielajew AF. History of Monte Carlo. In: Seco J Verhaegen F (eds) Monte Carlo techniques in radiation therapy. Boca Raton, FL: CRC Press, 2021, pp. 3–15.

Kroese DP Brereton T Taimre T , et al. Why the Monte Carlo method is so important today. Wiley Interdis Rev: Comput Stat 2014; 6: 386–392.

Fulton L McMurry LP Kerr CB. A Monte Carlo simulation of air ambulance requirements during major combat operations. Military Med 2009; 174: 610–614.

Currie CS Fowler JW Kotiadis K , et al. How simulation modelling can help reduce the impact of COVID-19. J Simul 2020; 14: 83–97.

Taylor SJ Khan A Morse KL , et al. Grand challenges for modeling and simulation: simulation everywhere—from cyberinfrastructure to clouds to citizens. Simulation 2015; 91: 648–665.

Akpan IJ Etti GE. Computer simulation everywhere: mapping fifteen years evolutionary expansion of discrete-event simulation and integration with digital twin and generative artificial intelligence. Symmetry 2025; 17: 1272.

Brailsford SC Eldabi T Kunc M , et al. Hybrid simulation modelling in operational research: a state-of-the-art review. Eur J Oper Res 2019; 278: 721–737.

Wainer G St-Aubin B. A web-based architecture to operationalize geospatial simulation environments. Adv Theory Simul 2024; 7: 2400144.

Abideen A Mohamad FB. Improving the performance of a Malaysian pharmaceutical warehouse supply chain by integrating value stream mapping and discrete event simulation. J Model Manag 2021; 16: 70–102.

de Paula Ferreira W Armellini F De Santa-Eulalia LA . Simulation in industry 4.0: a state-of-the-art review. Comput Ind Eng 2020; 149: 106868.

Krishnamurthi R Kumar A. Modeling and simulation for Industry 4.0. In: Nayyar A Kumar A (eds) A roadmap to Industry 4.0: smart production, sharp business and sustainable development. Advances in science, technology & innovation. Cham: Springer, 2020, 127–141.

Akpan IJ Razavi R Akpan AA. Evolutionary trends in decision sciences education research from simulation and games to big data analytics and generative artificial intelligence. Big Data 2025; 13: 416–437.

Mortenson MJ Doherty NF Robinson S. Operational research from Taylorism to Terabytes: a research agenda for the analytics age. Eur J Oper Res 2015; 241: 583–595.

Ören T Zeigler BP Tolk A (eds). Simulation foundations, methods and applications: body of knowledge for modeling and simulation. A handbook by the Society for Modeling and Simulation International.Cham: Springer, 2023.

Monks T Harper A Heather A. Unlocking the potential of past research: using generative AI to reconstruct healthcare simulation models. J Oper Res Soc. Epub ahead of print 10 September 2025. DOI: 10.1080/01605682.2025.2554751.