Abstract
This paper explores the application of Agile methodologies in managing smart affordable housing infrastructure projects, emphasizing their potential to improve project efficiency, cost control, and adaptability. As the demand for affordable housing continues to rise, traditional project management approaches often struggle with delivering projects on time and within budget, particularly when incorporating smart technologies. Agile methodologies, characterized by flexibility, iterative development, and continuous improvement, offer a promising solution for addressing these challenges. The study reviews existing literature on the advantages of Agile in construction and housing, particularly focusing on its application to affordable housing and smart building technologies. Through case studies, the paper highlights successful implementations where Agile practices have contributed to reduced costs, timely delivery, and the seamless integration of technologies such as IoT and AI. The research identifies key strategies for overcoming barriers to Agile adoption, including the need for training, organizational change, and fostering cross-functional collaboration. The paper concludes with strategic recommendations for stakeholders and offers insights into future research areas, particularly regarding the integration of AI and IoT with Agile practices to optimize large-scale housing projects and improve their long-term sustainability. By leveraging Agile methodologies, stakeholders can create affordable housing that is not only cost-effective but also sustainable and technologically advanced. Keywords: Agile Methodologies, Affordable Housing, Smart Housing Infrastructure, Project Management, Cost Efficiency, Sustainability.
Cite
CITATION STYLE
Tosin Samuel Oyetunji, Fasasi Lanre Erinjogunola, Rasheed O. Ajirotutu, Abiodun Benedict Adeyemi, Tochi Chimaobi Ohakawa, & Saliu Alani Adio. (2025). Application of Agile Methodologies in Managing Smart Affordable Housing Infrastructure Projects. Engineering Science & Technology Journal, 6(2), 73–85. https://doi.org/10.51594/estj.v6i2.1862
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