2013 Winter Simulations Conference (WSC) 2013
DOI: 10.1109/wsc.2013.6721690
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Time-stepped, simulation-based scheduling system for large-scale industrial construction projects

Abstract: Industrial construction projects have recently moved more towards tighter schedules and fast-tracked engineering and construction. This leads to overlap between work packages, increased occurrences of resource over-allocation and site congestion, which pose challenges to project planners in scheduling construction works and dynamically allocating resources considering the construction site conditions. Most previous research related to scheduling and resource allocation assumes that allocated resources remain c… Show more

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Cited by 3 publications
(2 citation statements)
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“…They used sensor data of weather, truck speed, and other data to simulate fame work for real-time planning of snow removal operations. Also, (Hu and Mohamed 2013) utilized it in Industrial construction projects in the planning process to be capable of dynamic planning based on upcoming constraints. These models are utilized to help decision-makers in choosing the best fit scenario for the case constraints and within its stochastic environment.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They used sensor data of weather, truck speed, and other data to simulate fame work for real-time planning of snow removal operations. Also, (Hu and Mohamed 2013) utilized it in Industrial construction projects in the planning process to be capable of dynamic planning based on upcoming constraints. These models are utilized to help decision-makers in choosing the best fit scenario for the case constraints and within its stochastic environment.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Some researchers utilized simulation to schedule tasks in the construction industry (Lu 2003;Lu et al 2008;Liu et al 2015;and Hu and Mohamed 2013). Khadem et al (2017) utilized simulation to estimate delays and budget on a case study from an oil and gas industry.…”
Section: Literature Reviewmentioning
confidence: 99%