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Repetitive construction projects (such as the construction of kyscrapers, highways, tunnels or pipelines) consist of processes that are repeated on work units. An important part of scheduling construction projects is the selection of resources and synchronization of their work to ensure their continuous employment.The number of workers assigned, or the type and number of construction machines, affects the execution time
and cost of processes repeated at successive locations and, nsequently, the execution time of the entire project.Reduction of project duration often makes it possible to complete the project without exceeding the contractual deadline and without contractual penalties. The scheduling of repetitive construction projects must allow crews to complete work on each of their assigned units and move quickly to the next unit without having to wait idly for the previous crew to finish work on the same unit. The main benefits of minimizing crews' gaps are reduced project costs and improved construction productivity by maximizing the crews' use of the learning curve effect. This article considers the problem of selecting optimal actions to crush processes duration with regard to their costs and effects in the form of reduced construction project duration not exceeding contractual one. A linear programming model was developed to searching of optimal schedule and ensuring the minimization of crews'
gaps. Model can be solved using commercially available tools. The developed model made it possible to obtain the optimal variant of actions for crushing processes durations for example: allocation of additional resources, the extension of work shift or working hours per week. The use of them allowed to avoid penalties for exceeding the contractual deadline due to a reduction in the execution time of the project, with a relatively small increase in direct costs, not exceeding the accepted limit.
