joaoflavioufmg/desk: Documentation update

Discrete Event Simulation Kit - A comprehensive Python framework for Discrete Event Simulation [1,2] with advanced analysis, visualization, and experimental design capabilities. DESK (Discrete Event Simulation Kit) is a professional-grade simulation framework built on top of SimPy [3], designed for modeling complex systems such as hospitals, call centers, manufacturing, and service operations. DESK addresses the gap of structured experimental design [4] and replication automation in discrete-event simulation [1,2] workflows. The open-source framework [5] emphasizes: - modularity, - reusability, - transparency (visualization and event logs), - and statistical analysis. DESK is suitable for applied decision support, teaching, and research. [1] Banks, J. (2005). Discrete event system simulation. Pearson Education India. [2] Law, A. M., Kelton, W. D., & Kelton, W. D. (2007). Simulation modeling and analysis (Vol. 3). New York: Mcgraw-hill. ISBN10: 0073401323 | ISBN13: 9780073401324 https://www.mheducation.com/highered/product/simulation-modeling-and-analysis-law.html?viewOption=instructor [3] Matloff, N. (2008). Introduction to discrete-event simulation and the simpy language. Davis, CA. Dept of Computer Science. University of California at Davis. Retrieved on August, 2(2009), 1-33. https://heather.cs.ucdavis.edu/matloff/public_html/156/PLN/DESimIntro.pdf [4] Kleijnen, J. P. (2015, September). Design and analysis of simulation experiments. In International workshop on simulation (pp. 3-22). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-76035-3_1 [5] Stodden, Victoria, Marcia McNutt, David H. Bailey, et al. 2016. “Enhancing Reproducibility for Computational Methods.” Science 354 (6317). https://doi.org/10.1126/science.aah6168.