Abstract
Paper presents the original method of construction scheduling using fuzzy sets theory. The essence of the method is to obtain an optimal construction schedule based on the solution of the fuzzy RCPS problem with flexible restrictions. The article introduces two important modifications of the considered issue. These modifications are: maximization of the degree of fulfillment of customer preferences regarding the time span of the project implementation and the contractor's preference regarding the level of use of renewable resources, for example - the level of employment of workers. The article also contains a numerical example showing the procedure for applying the described method.
Highlights
A distinctive feature of construction projects is the uniqueness of conditions for their implementation
The essence of the method is to obtain an optimal construction schedule based on the solution of the fuzzy RCPS problem with flexible restrictions
The article introduces two important modifications of the considered issue. These modifications are: maximization of the degree of fulfillment of customer preferences regarding the time span of the project implementation and the contractor's preference regarding the level of use of renewable resources, for example the level of employment of workers
Summary
A distinctive feature of construction projects is the uniqueness of conditions for their implementation. The uniqueness of the object and the conditions of its implementation implies the uncertainty of planning data, on the basis of which the time of the undertaking is assessed for the purpose of making a decision on its acceptance for implementation or rejection Such decisions are made both by the investor - the owner of the undertaking, as well as the contractor, considering the advisability of participating in the implementation of the undertaking. This uniqueness is understood as the uncertainty of the project environment and handled by stochastic approaches: probabilistic-based PERT method or simulation methods. Fulfilling the preferences of the contractor in this respect is a prerequisite for optimizing the schedule
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