2021
DOI: 10.1177/00375497211056087
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A case study on the use of a conceptual modeling framework for construction simulation

Abstract: Construction simulation has been an active area of research in the last six decades. Nevertheless, there has been a gap between academia and industry in realizing the capabilities of simulation to support decision-making in construction. One of the well-recognized reasons is the difficulty of undertaking comprehensive simulation studies by construction practitioners, who usually lack sufficient knowledge and skills to adequately build simulation models. Efforts to bridge this gap have been focused on simplifyi… Show more

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Cited by 4 publications
(2 citation statements)
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“…The proposed approach helps decision-makers identify effective Lean practices and improve operational efficiency. Abdelmegid et al 42 focused on the development of a simulation model for cast-in-place reinforced concrete piling operations in construction projects. The main objective was to ensure a workflow minimizing disruptions caused by delays or unexpected events in upstream activities.…”
Section: Introductionmentioning
confidence: 99%
“…The proposed approach helps decision-makers identify effective Lean practices and improve operational efficiency. Abdelmegid et al 42 focused on the development of a simulation model for cast-in-place reinforced concrete piling operations in construction projects. The main objective was to ensure a workflow minimizing disruptions caused by delays or unexpected events in upstream activities.…”
Section: Introductionmentioning
confidence: 99%
“…Several commonly used combat simulations fall into three categories known as virtual, live, and constructive. 3 Constructive simulations are defined based on model granularity to campaign, mission, engagement, and engineering levels. 4 For the engagement simulation, models are tailored at a functional level of abstraction instead of using a set of hypothetical probabilities to represent input parameters in a mission-level simulation or processing signal-level information in an engineering-level simulation.…”
Section: Introductionmentioning
confidence: 99%