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Effective planning is crucial in the construction sector to ensure projects are completed on time
and on budget. However, the construction industry faces various challenges that can complicate the planning
process. There are often delays, exceedances of the baseline and increases in investment costs. One planning
method is Time Couplings Methods (TCM), which can be improved using predictive multivariate statistical
model method (MMSM) construction process times and standard deviations. A new scheduling method in
the probabilistic approach was developed – Probabilistic Time Couplings Method II (PTCM II). In PTCM II,
the priority is to maintain the continuity of work on working sectors, because sector downtime is unfavorable
and extends the investment implementation time. The work presents a case study and compares it with
other planning methods and with the real time of the considered investment. he results clearly indicate that
the developed methodology is correct, provides good mapping and can be successfully used in planning
construction works.
