Zobrazit minimální záznam

dc.contributor.authorSmugala, Stanislav
dc.contributor.authorKubečková, Darja
dc.date.accessioned2022-06-23T11:14:27Z
dc.date.available2022-06-23T11:14:27Z
dc.date.issued2022
dc.identifier.citationApplied Sciences. 2022, vol. 12, issue 7, art. no. 3529.cs
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10084/146311
dc.description.abstractAn 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-Levy 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.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesApplied Sciencescs
dc.relation.urihttps://doi.org/10.3390/app12073529cs
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectmean valuecs
dc.subjectstandard deviationcs
dc.subjectproductivitycs
dc.subjectsample relative frequencycs
dc.subjectprobability theorycs
dc.subjecthypothesis testcs
dc.titleTime connection of subsequent construction processes estimated by statistical methodcs
dc.typearticlecs
dc.identifier.doi10.3390/app12073529
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume12cs
dc.description.issue7cs
dc.description.firstpageart. no. 3529cs
dc.identifier.wos000781175100001


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Zobrazit minimální záznam

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.