Simulation of Execution Alternatives Using Chronographic Scheduling Logic

The more complex a project is, the more attractive non-traditional project delivery methods like Design-Build become. These delivery methods allow decisions with several options to be postponed. To account for these alternatives, existing generalized scheduling methods integrate decisions into their processes; however, these methods only use traditional precedence dependencies for network calculations. This paper contributes to the existing body of knowledge by extending the traditional logic and modeling execution alternatives using chronographic time-scaled point-to-point relations, production-based dynamic relations and function dependencies between ongoing activities. Using the Monte-Carlo simulation, the paper simulates the impact of operations and reworks uncertainties for the execution alternatives. For companies, this approach represents scheduling constraints in a flexible manner and provides a feasible solution for modeling the complexity of real-world projects.