14th International Conference on Industrial Engineering and Operations Management

Duration Estimation of Steel Framing Activities Using an Artificial Intelligent Algorithm and Top Risk Scores for High-Rise Buildings

Dima Jawad & Seiyed Hamid Mousavi
Publisher: IEOM Society International
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Abstract

Underestimation or overestimating activities’ duration in construction projects leads to many problems like lack of funding or procrastination. However, estimating duration accurately for construction projects is difficult because of many factors like identified and unidentified negative risks. This paper tried to estimate realistic durations of steel framing activities in a high-rise building using a combination of Artificial Neural Networks (ANNs) and fuzzy logic algorithms with data from five similar projects. Initial planned durations and the top five pure risks are the inputs, and estimated actual durations are the outputs. The data from the first four projects was for training, and the fifth one was for simulation. Then, the estimated expected actual durations under uncertainties are compared to the actual durations of the project. The results showed that about 75% of the fifth project’s activities had errors of less than three days compared to the actual durations.

Published in: 14th International Conference on Industrial Engineering and Operations Management, Dubai, UAE

Publisher: IEOM Society International
Date of Conference: February 12-14, 2024

ISBN: 979-8-3507-1734-1
ISSN/E-ISSN: 2169-8767