Application of power BI in monitoring progress and cost during construction for a logistics warehouse project : a case study of MPT group | |
| Author | Tran Van Nghia |
| Call Number | AIT Proj. no.MPM-CM-25-20 |
| Subject(s) | Warehouses--Industrial applications--Vietnam--Case studies Business logistics--Industrial applications--Vietnam--Case studies |
| Note | A project submitted in partial fulfillment of the requirements for the degree of Master of Engineering (Professional) in Construction Engineering and Infrastructure Management |
| Publisher | Asian Institute of Technology |
| Abstract | In recent years, Vietnam's logistics real estate market has experienced strong growth, driven by the global shift in supply chains, the boom of e-commerce, and increasing demand for modern warehousing systems. Particularly after the COVID-19 pandemic, many enterprises have accelerated investments in logistics infrastructure to enhance resilience and optimize operational costs. However, the implementation of logistics warehouse projects is still facing many difficulties and challenges, especially in the management of safety, progress, quality, cost and risk. Complex coordination between stakeholders, tight time, risks from subcontractors and fluctuations in material prices have made project management increasingly difficult. To address these issues, the utilization of technological innovations in construction management like Building Information Modeling (BIM), automated progress monitoring systems, and especially data analysis tools like Power BI, has garnered significant attention. Power BI allows data integration from multiple sources, such as site logs, construction schedules, and actual costs, to create dynamic dashboards, KPI tracking systems, and early warnings. This study focuses on the application of Power BI in monitoring construction progress and cost control in a logistics warehouse project in Vietnam. During a six-month pilot period, the results showed that using Power BI helped reduce reporting time by 80%, improved cost forecasting accuracy by 15%, and enabled early detection of delays by an average of ten days compared to traditional methods. The findings highlight the potential for replicating and scaling this digital monitoring model in future logistics construction projects, contributing to more efficient and transparent project management practices in Vietnam’s construction industry. |
| Year | 2025 |
| Type | Project |
| School | School of Engineering and Technology |
| Department | Department of Civil and Infrastucture Engineering (DCIE) |
| Academic Program/FoS | Construction Engineering and Infrastructure Management (Professional Master) (MPM-CM) |
| Chairperson(s) | Hadikusumo, Bonaventura H. W.;Minato, Takayuki (Co-chairperson) |
| Examination Committee(s) | Wasan Teerajetgul;Burin Kunatippapong |
| Degree | Project (M. Eng.) - Asian Institute of Technology, 2025 |