Abstract

Digital transformation in plant construction management is revolutionizing the way construction projects are planned, executed, and managed, particularly in developing countries like Bangladesh. The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) into the construction industry has the potential to improve project efficiency, productivity, and cost control by addressing common challenges such as resource limitations, inefficiencies, cost overruns, delays, and poor data management. Bangladesh’s construction sector faces unique challenges, including a lack of skilled labor, inefficient project execution, and difficulties in managing large-scale infrastructure projects. Traditional construction management methods often struggle to keep pace with the demands of modern infrastructure development, particularly in complex projects like power plants, industrial facilities, and critical infrastructure. The adoption of AI and IoT technologies offers a transformative solution to these issues, enabling real-time data collection, predictive insights, and process automation. AI plays a key role in enhancing construction project management by enabling predictive analytics, risk assessment, and resource optimization. Machine learning algorithms can analyze vast amounts of historical data to predict project timelines, detect potential delays, and recommend corrective actions, allowing for better decision-making and project control. AI-driven project management software can also automate routine tasks such as scheduling, budgeting, and resource allocation, freeing up project managers to focus on strategic decisions. In Bangladesh, where labor shortages and inefficiencies are common, AI technologies can help reduce human error, improve the accuracy of project forecasts, and accelerate decision-making processes, leading to improved project outcomes. The Internet of Things (IoT) complements AI by providing real-time data through interconnected sensors embedded in construction equipment, machinery, and materials. These sensors capture critical performance metrics such as equipment utilization, material consumption, environmental conditions, and worker safety. In Bangladesh, where supply chain disruptions and material wastage are frequent issues, IoT can help optimize inventory management by tracking the movement of materials in real time, reducing waste, and ensuring that the right materials are available when needed. Additionally, IoT-enabled sensors can monitor the condition of machinery and equipment, providing early warnings of potential failures and preventing costly downtime. Together, AI and IoT technologies offer a powerful combination that enhances the management of construction projects by improving project visibility, streamlining workflows, and optimizing resource utilization. In the context of Bangladesh, the integration of these technologies could significantly improve project performance, reduce costs, and ensure timely project completion. The findings of this study highlight the importance of embracing digital transformation in plant construction management, offering actionable insights for stakeholders in the construction industry to improve their operations and achieve greater efficiency and success in large-scale infrastructure projects.