Virtual simulation environment for comparing and testing current modeling strategies in project planning and control

This paper introduces a simulation environment that enables researchers and industry professionals to evaluate newly proposed methods for project planning and control. It addresses the need for comprehensive testing of modeling strategies across diverse scenarios, given limited access to real-world case studies. Using Monte Carlo-Markov chain simulation, the virtual environment facilitates the creation of random networks simulating construction project baseline plans and the uncertainties affecting these projects' execution. The research contributes significantly in two aspects. Firstly, the network generator can capture the complete feasible domain based on several quantitative topological measures for complexity and randomness, addressing prior limitations of previously developed network generators. Secondly, by embedding cost and schedule parameters and facilitating experimentation with various modeling strategies, this study offers a dynamic, resource-efficient alternative for robust comparative analysis of construction innovations. Practically, this environment serves as an essential decision-support tool for encouraging innovative experimentation and advancing construction management practices.