Statistical methods applied to construction process management

Kubečková, Darja; Smugala, Stanislav

doi:10.1007/s42107-020-00221-7

Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Although traditional methods have some limitations for site monitoring, such as time-consuming, operose, missing or incomplete information, resulting in a slow flow of information, make effective decision-making difficult, labor-intensive and high expenses (Kimoto et al , 2005; Luo et al , 2018; Naoum, 2015; Omar et al , 2018; Yang et al , 2015), they have been used in several studies to monitor the productivity of different indoor activities (such as tiling, plastering, masonry work, false ceiling boarding and fixing and application of screed) and outdoor activities (such as formwork, reinforcement steel activities, MEP, concrete work and curtain wall) (Alchaer and Issa, 2020; Azhar et al , 2020; Bhatti et al , 2019; Chui et al , 2012; Florez and Cortissoz, 2017; Gouett et al , 2011; Hwang, 2010; Ko and Han, 2015; Kubečková and Smugala, 2020; Mao et al , 2018; Mine et al , 2015; Ouga et al , 2020).…”

Section: Resultsmentioning

confidence: 99%

Productivity monitoring in building construction projects: a systematic review

Alaloul

Alzubi

Malkawi

et al. 2021

ECAM

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PurposeThe unique nature of the construction sector makes it fall behind other sectors in terms of productivity. Monitoring construction productivity is crucial for the construction project's success. Current practices for construction productivity monitoring are time-consuming, manned and error prone. Although previous studies have been implemented toward reducing these limitations, a gap still exists in the automated monitoring of construction productivity.Design/methodology/approachThis study aims to investigate and assess the different techniques used for monitoring productivity in building construction projects. Therefore, a mixed review methodology (bibliometric analysis and systematic review) was adopted. All the related publications were collected from different databases, which were further screened to get the most relevant based on the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) criteria.FindingsA detailed review was performed, and it was found that traditional methods, computer vision-based and photogrammetry are the most adopted data acquisition for productivity monitoring of building projects, respectively. Machine learning algorithms (ANN, SVM) and BIM were integrated with monitoring tools and technologies to enhance the automated monitoring performance in construction productivity. Also, it was observed that current studies did not cover all the complex construction job sites and they were applied based on a small sample of construction workers and machines separately.Originality/valueThis review paper contributes to the literature on construction management by providing insight into different productivity monitoring techniques.

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Section: Resultsmentioning

confidence: 99%

Productivity monitoring in building construction projects: a systematic review

Alaloul

Alzubi

Malkawi

et al. 2021

ECAM

View full text Add to dashboard Cite

show abstract

“…Building the time-period of future projects is predicted on the basis of the probability calculation carried out in the already implemented projects. The principle of Khanzadi's method is comparable with the method presented by Kubečková and Smugala (2020). The difference consists in prediction of the process duration, which is based on the evaluation of real implemented performances at the construction site according to Smugala's solution.…”

Section: Related Work From Literaturementioning

confidence: 99%

“…Simulation applications are the subject of studies proposed by Han et al (2014), which are based on the real data recorded at the given construction site that were used for the construction process modeling. This system is based on an analogous principle as the model presented by Kubečková and Smugala (2020), which was used in the Czech Republic. Compared with Han's study the method proposed by Smugala explored another type of building and evaluated more construction processes making up the whole structure.…”

Section: Related Work From Literaturementioning

confidence: 99%

Determination of construction process duration based on labor productivity estimation: A case study

Kubečková

Smugala

2021

Organization, Technology and Management in Construction: An International Journal

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Monitoring labor productivity and how to decrease construction costs are the key issues in the planning process of a construction project. The CONTEC automated system combined with statistical methods assists in predicting the amount of time required to complete construction works according to the specified number of deployed work crews, technological processes, and labor required for certain production in person-hours. This study applies statistical analyses and probability theories for plastering work, which represents a labor-intensive construction process. The goal of the research is to determine the probability of completion of the construction process based on monitoring the mean value of performance. By application of statistical analyses a decrease in the performance standard has been proved compared with the planned values given in the CONTEC database. The decrease in performance, which was also caused by the number of days with unfavorable climatic conditions and demonstrated by performing interval estimates based on the collection of statistical data, was later confirmed by a relative frequency test. The measures taken were in terms of establishing the required number of personnel capacities for complying with the construction schedule.

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Time Connection of Subsequent Construction Processes Estimated by Statistical Method

Smugala

Kubečková

2022

Applied Sciences

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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.

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Statistical methods applied to construction process management

Cited by 4 publications

References 9 publications

Productivity monitoring in building construction projects: a systematic review

Productivity monitoring in building construction projects: a systematic review

Determination of construction process duration based on labor productivity estimation: A case study

Time Connection of Subsequent Construction Processes Estimated by Statistical Method

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