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Erschienen in:
2023 | OriginalPaper | Buchkapitel
Development of Novel Hybrid Artificial Intelligent Model for Optimizing Material Supply Chain in Construction Projects
verfasst von : Vu Hong Son Pham, Huynh Chi Duy Nguyen
Erschienen in: ICSCEA 2021
Verlag: Springer Nature Singapore
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Abstract
On the construction site, the time is rushed so the managers are only concerned about human resources and construction methods to meet the schedule, while paying little attention to construction materials. Because of the lack of concern about material costs, the current cost management of managers is still not really effective. Therefore, this study proposes to use a novel Hybrid Artificial Intelligent Model (HAIM) to optimize the material supply chain save cost for construction contractors. The construction logistics planning method is utilized to find suitable material requirements as well as control the cost of construction materials. The validation analysis shows the advanced searchability of proposed model to traditional and model metaheuristic algorithms. Using HAIM, Managers can optimize construction costs through material demand planning; thereby increasing profits for the project and the company will increase its competitiveness in the construction market.