Time Connection of Subsequent Construction Processes Estimated by Statistical Method

An integral part of managing the construction of investment units is the monitoring of labor productivity using statistical methods in combination with construction software. Such a combination includes a number of methods and modeling, among which is a method for determining the probability of the...

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Bibliographic Details
Main Authors: Kubečková, D. (Author), Smugala, S. (Author)
Format: Article
Language:English
Published: MDPI 2022
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Online Access:View Fulltext in Publisher
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Summary:An integral part of managing the construction of investment units is the monitoring of labor productivity using statistical methods in combination with construction software. Such a combination includes a number of methods and modeling, among which is a method for determining the probability of the completion of construction processes based on the recorded mean value of labor productivity and its variations. For investment units consisting of two or more objects, it is necessary to assess the probability of the completion of construction processes related to follow-up activities and which are carried out by the same work crews. Based on the selected probability modeling, the aim of this contribution was to show how statistical methods and software support can contribute to savings in resources, both human and time, in construction production. The aspect is documented in a case study of residential buildings. The Lindeberg–Lévy and Moivre–Laplace theory and the Bernoulli principle were used for mathematical modeling. The CONTEC construction software was applied as the software support. The performed modeling showed a decrease in the mean value of performance for all the processes examined compared to the planned values, except for the implementation of reinforced concrete monolithic structures. For these reasons, the working capacities had to be increased in order to meet construction milestones. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
ISBN:20763417 (ISSN)
DOI:10.3390/app12073529