Web-Based Automation for Accurate Cost Estimation and Quotation

Abstract: Quantity Surveying (QS) plays a critical role in overseeing and managing construction project costs. However, conventional QS practices—often dependent on paper-based documentation and Excel spreadsheets—can be inefficient and prone to estimation inaccuracies. This study introduces a web-based QS automation framework developed using ASP.NET, designed to improve the efficiency and accuracy of cost estimation for concrete structures. The system provides a user-friendly interface that aligns with the logical sequence of construction activities, thereby improving usability and workflow. Expert validation using real project data demonstrated the framework’s effectiveness, showing a notable improvement in accuracy and speed. The automated approach achieved a 99% accuracy rate in cost estimation, significantly reducing the computation time from 114 days (manual) and 19 days (Excel) to just 3 days. These improvements highlight substantial savings in both labor and time, offering a reliable and scalable solution to modern QS challenges.

Keywords: Quantity Surveying; Automation Framework; Concrete Construction; Web-Based System; ASP.NET; Cost Estimation; Project Management.