AI-Driven Construction Management: Innovations, Challenges, and Pathways to Success

  • سال انتشار: 1402
  • محل انتشار: دومین کنفرانس بین المللی مهندسی عمران؛یافته های نوین و کاربردی
  • کد COI اختصاصی: CENAF02_060
  • زبان مقاله: فارسی
  • تعداد مشاهده: 66
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نویسندگان

Seyed Reza Samaei

Post-doctoral, Lecturer of Technical and Engineering Faculty, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Elham Behdadfar

Bachelor's degree graduate, primary education field, The department of education region ۹, education of Tehran, Iran.

چکیده

This study proposes a novel approach for optimizing construction project schedules using artificial intelligence (AI). The methodology involves collecting primary data from historical project records, real-time sensors, and stakeholder preferences. Through rigorous data analysis and preprocessing, insights are extracted to inform the development of an AI algorithm tailored to address the complexities of construction scheduling. The algorithm undergoes rigorous training and validation using historical data, ensuring robustness and accuracy. Upon implementation and integration into existing project management systems, the AI-based scheduling optimization tool generates optimized schedules considering multiple objectives, constraints, and uncertainties. The outputs include interactive visualizations and dashboards for stakeholder communication and scenario analysis. Performance evaluation against traditional scheduling approaches demonstrates the effectiveness and efficiency of the proposed method. Feedback from users guides iterative improvements, leading to a continuously refined AI model. Overall, this study showcases the potential of AI in enhancing construction management practices, leading to more efficient and successful project outcomes.

کلیدواژه ها

Construction management, Artificial intelligence, Project scheduling, Optimization, Stakeholder preferences, Data-driven decision-making.

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.