Development of the construction scheduling based on fuzzy discrete event simulation for a TFT-LCD plant

Su, Teng-Sheng; Chang, Luh‐Maan

doi:10.1016/j.promfg.2020.01.201

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…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]). It is also worth noting the publications relating to the application of various modifications of Petri net models [57][58][59][60][61].…”

Section: Literature Reviewmentioning

confidence: 99%

“…A study published by Su, S.T. and Chang, M. L. [49] presents fuzzy-based methods which provide a proper mechanism for expressing planners' linguistic terms to determine the level of factors that affect the planning of the construction schedule. By the application of this method, it is possible to shorten the construction duration in a short computational time.…”

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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