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Due to the increasing size and complexity of construction projects, traditional construction planning is no longer enough for producing workable plans that incorporate all necessary project details, such as design complexities, learning curves, and the coordination process. Such traditional construction methods require construction managers to utilize data from previous projects and make heuristic adjustments to establish on-site construction plans. However, with the radical shifts now being seen, construction planning that refers to previous projects’ data cannot ensure the predicted level of productivity. Since construction projects have become more complex, managers heuristics cannot encompass all of the necessary managerial and operational details. On-site work now suffers from constant modifications and changes to project conditions. Such inadequate planning can result in delays and cost overruns stemming from on-site operational problems.
This variability between planned and actual performance results in managerial inefficiency and, ultimately, lower-quality outcomes. Such differences lead to the supply of materials not coinciding with demand on the construction site; construction managers must then wrestle with an excess or lack of materials. If the actual performance is greater than expected, materials become scarce and labor and equipment are wasted. On the other hand, if the actual performance is lower than expected, materials become excessive; construction costs then increase due to interest accrual and inventory management. Thus, reliable planning is extremely important to managerial efficiency and waste reduction. However, since construction projects are inherently dynamic and complex, the work productivity on site can vary daily, according to the type and number of mitigating factors. Productivity dynamics can proliferate such variations between planned and actual production, resulting in an exacerbation of on-site problems
Furthermore, computer simulations automate the planning process, allowing for the integration of simulation (GPM) models that contain all the information necessary for development. GPM design applications are more than just design tools; most GPM design applications also interface with other applications, cost estimations, and so on. With the increasing amount of information available and GPM’s improved process annotations, information visualization has become central to the overall construction process. In this context, integrating construction operation simulations with GPM would facilitate time and cost efficiency, and generally streamline the process.
In this regard, our research shows integrated simulation framework of GPM for predicting reliable productivity dynamics by considering the factors at the operational level. Our GPM integrated planning framework alleviates the difficulties that currently plague reliable construction planning and allows for managerial efficiency as well as technical advancement. Above all, since GPM is a digital representation of the functional and physical characteristics of a construction operation, it allows for the early incorporation of the unique characteristics into the planning process. Also, since simulation models represent the comprehensive production process, including the dynamic and complex interaction of sub-processes, our framework allows us to synthetically consider diverse factors and repeatedly run construction project in a virtual space without risk. The complete simulation performed the construction operation in a virtual world and generated accurate forecasts of productivity dynamics that were more reliable than those developed by traditional methods.

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