https://adrjournalshouse.com/index.php/civil-environment-engineering <p><em><strong>Journal of Advanced Research in Civil and Environmental Engineering</strong> has been indexed in <strong>Index Copernicus international</strong>.</em></p> <p><strong>Peer Reviewed Journal </strong></p> <p><em><strong><a href="https://journals.indexcopernicus.com/search/details?id=47647">Index Copernicus Value 2018 - 58.94</a></strong></em></p> Advanced Research Publications en-US Journal of Advanced Research in Civil and Environmental Engineering 2394-7020 https://adrjournalshouse.com/index.php/civil-environment-engineering/article/view/2180 <p>This study examines the key factors influencing construction quality in Birendranagar, Surkhet, focusing on manpower, equipment, management, funding, and duration-related challenges. A questionnaire survey was conducted with 59 respondents, and data were analyzed using the Relative Importance Index (RII) and Mean Value Response (MVR). The findings reveal that insufficient worker training (RII = 0.78), weak site supervision (RII = 0.81), outdated machinery with poor maintenance (RII = 0.82), and financial constraints (RII = 0.84) significantly impact construction quality. Additionally, poor planning and scheduling (RII = 0.83) contribute to delays and inefficiencies.</p> <p>An Artificial Neural Network (ANN) model using IBM SPSS 27 was employed to predict the most influential factors affecting construction quality. While RII rankings identified funding-related factors as the most critical, ANN analysis indicated that machine efficiency, management, and project duration have a greater impact, highlighting a gap between stakeholder perceptions and data-driven insights. Sensitivity analysis further revealed that machine-related factors hold the highest importance (100%), followed by management (96%) and duration (85%), while manpower factors ranked lowest (68%).</p> <p>The study emphasizes the need for workforce training, modern equipment maintenance, financial stability, and improved site management to enhance construction quality. A balanced approach that integrates perception-based insights with data-driven findings is recommended for effective decision-making and sustainable improvements in construction projects. Future research should explore labor union impacts, cultural influences, client involvement, regulatory compliance, and risk mitigation strategies to further enhance construction quality management</p> Prakash Baduwal Nita Rijal Govinda Khatri Aakash Baduwal Copyright (c) 2025 Journal of Advanced Research in Civil and Environmental Engineering 2025-04-01 2025-04-01 12 1 1 11