Chance-constrained time-cost tradeoff analysis considering funding variability

This paper proposes a chance-constrained programming model to incorporate the variability of funding, which is quantified by the coefficient of variation. The proposed model formulates financial feasibility as a stochastic constraint, transforms it into a deterministic equivalent at a prespecified confidence level, and solves the system by means of classical optimization techniques. The time-cost curve generated by the proposed model serves as a foundation for optimizing total project cost. To demonstrate the uniqueness of the proposed model, it is compared to previous approaches through a small building example.