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Microscopical Resource Allocation for Large-Scale Apartment Foundation Work Using Queuing Systems
Resource management can determine the success or failure of construction projects and is indispensable in frame construction owing to the numerous resources allocated. Various research methodologies have been proposed for successful resource management, but they have not been conducted from a microscopic point of view such as activity. This paper quantitatively analyzes the impact of a concrete pouring team allocation on the project from a microscopic point of view, and proposes a framework for allocating the optimal team. Firstly, a time-dependent queueing model-based method is proposed for evaluating the influence of the pouring team for foundation concrete pouring. Data from large-scale apartment project cases in South Korea were used to verify this framework. Using time and cost metrics, the impact of the pouring team on the project was quantitatively analyzed. Finally, comparative analysis was performed to compare the concrete pouring team costs, including the average server cost and waiting cost before and after optimization. The proposed method reduced the total pouring team cost by 26.27% (KRW 35,547,600); it can help determine the optimal number of concrete pouring teams required for frame construction and improve the performance of construction projects from the process planning stage itself, by ensuring appropriate resource planning. However, since a single case was used, it is necessary to apply the proposed framework to actual construction after analyzing various cases in future studies.
Microscopical Resource Allocation for Large-Scale Apartment Foundation Work Using Queuing Systems
Resource management can determine the success or failure of construction projects and is indispensable in frame construction owing to the numerous resources allocated. Various research methodologies have been proposed for successful resource management, but they have not been conducted from a microscopic point of view such as activity. This paper quantitatively analyzes the impact of a concrete pouring team allocation on the project from a microscopic point of view, and proposes a framework for allocating the optimal team. Firstly, a time-dependent queueing model-based method is proposed for evaluating the influence of the pouring team for foundation concrete pouring. Data from large-scale apartment project cases in South Korea were used to verify this framework. Using time and cost metrics, the impact of the pouring team on the project was quantitatively analyzed. Finally, comparative analysis was performed to compare the concrete pouring team costs, including the average server cost and waiting cost before and after optimization. The proposed method reduced the total pouring team cost by 26.27% (KRW 35,547,600); it can help determine the optimal number of concrete pouring teams required for frame construction and improve the performance of construction projects from the process planning stage itself, by ensuring appropriate resource planning. However, since a single case was used, it is necessary to apply the proposed framework to actual construction after analyzing various cases in future studies.
Microscopical Resource Allocation for Large-Scale Apartment Foundation Work Using Queuing Systems
Kyungsoo Wee (author) / Namhyuk Ham (author) / Jae-Jun Kim (author)
2022
Article (Journal)
Electronic Resource
Unknown
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