Fuzzy Hybrid Computing in Construction Engineering and Management

doi:10.1108/9781787438682

Cited by 16 publications

(2 citation statements)

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“…In the case of stochastic methods (see Appendix A, in continuation of literature [26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]), deviances from the planned performance are assessed using the probability theory and statistical methods in combination with the use of a construction software. Simulation techniques (see Appendix A, in continuation of literature [44][45][46][47]) form a so-called inter-developmental level of the construction management, falling in between the application of a classic method using a construction software and a combination of the statistical methods and a construction software. Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques, and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems (see Appendix A, [48][49][50][51][52][53][54][55][56]).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems. Therefore, many works aim to integrate fuzzy logic and simulation techniques in construction modeling and to provide methodologies for the development of fuzzy simulation models in construction [47]. Fuzzy logic is a powerful tool for dealing with subjective uncertainty; therefore, integrating these two techniques is advantageous in modeling construction systems.…”

Section: • Simulation Techniquementioning

confidence: 99%

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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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