2018
DOI: 10.5130/ajceb.v18i2.5842
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A Simulation-Based Scheduling Methodology for Construction Projects Considering the Potential Impacts of Delay Risks

Abstract: This paper tackles the problem of scheduling construction projects considering the influence of delay risks. In the actual body of knowledge, several methods have been proposed to handle this problem, starting from the Project Evaluation and Review Technique to advanced simulation models. However, this investigation proposes a novel integration of one methodology with some approaches already existing in the literature related to Monte Carlo Simulation scheduling techniques as seen from the perspective of a pra… Show more

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Cited by 5 publications
(3 citation statements)
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“…[23] suggested an improved methodology to estimate the mean project completion time using simulation. PERT analysis was used only for activities in the critical path [24].…”
Section: Determine the Critical Pathmentioning
confidence: 99%
“…[23] suggested an improved methodology to estimate the mean project completion time using simulation. PERT analysis was used only for activities in the critical path [24].…”
Section: Determine the Critical Pathmentioning
confidence: 99%
“…Buildings 2020, 10, 134 2 of 19 In addition, Monte Carlo simulation has been introduced to project scheduling under uncertainty, and used in combination with PERT, providing a generalized approach of the latter.…”
Section: Introductionmentioning
confidence: 99%
“…Zhang et al [17] developed an integrated dynamic default tree (DFT) and discrete-time Bayesian network (DTBN) simulation approach to make predictions about tunnel boring machine performance, and Tao et al [18] introduced a graphical evaluation and review technique model and used simulation to determine the key factors that affect the schedule of a new product development project. Recently, Paz et al [19] proposed a new mathematical formulation for the simulation model in which the "potential impact" of a risk factor was used. Then, the simulation process used to validate the functionality of the model via an already constructed construction university project was proposed.…”
Section: Introductionmentioning
confidence: 99%