LAUSR

Construction project schedule is to bring the completion time and the total cost into balance by allocating resources. In order to shorten the completion time and decrease the total cost as far as possible, three time-resource-cost trade-off models for construction project under uncertain environment, including expected value (E-V) model, chance-constrained (C-C) model and chance maximization (C-M) model, were built by using uncertain theory. The duration time of activities, the allocation time of material resources and human resources are considered as uncertain variables in the three models. The E-V model was to shorten the expected completion time under the chance constraint of cost. The C-C model was to obtain the minimum completion time under the chance constraints of completion time and cost. The C-M model was to maximize the chance that the completion time is not lager than the due date under the chance constraint of cost. For the convenience of calculation, the three models were changed into crisp equivalent form. A practical case study was provided to show the application process of three models and the results can be obtained by using the genetic algorithm. Finally, some extended construction project scheduling models are introduced.