Automated tool for predicting duration of construction activities in tropical countries

摘要: Proper and accurate estimating of construction activities’ duration is a key factor, as it can cause the success or failure project. The common methods have shown some inaccuracies according to previous studies. This study aims develop tool for construction’s major activities regarding structural elements concrete frame buildings. appropriate tropical regions. In order reach this purpose, Artificial Neural Network (ANN) employed core calculating engine tool. Through literature survey experts interviewing, factors which critically influence activity been identified. By means collected data from actual cases, four ANN models trained tested installing column reinforcements, beam concreting activities. Finally, web-based program was designed an automated suiting engineers estimate scoped based on method. Engineers decision makers in regions utilize developed planning phase their projects produce more estimations durations.