Predicting the Duration of Concrete Operations via Artificial Neural Network and by Focusing on Supply Chain Parameters

@inproceedings{Maghrebi2014PredictingTD,
  title={Predicting the Duration of Concrete Operations via Artificial Neural Network and by Focusing on Supply Chain Parameters},
  author={Mojtaba Maghrebi and Claude Sammut and Travis S. Waller},
  year={2014}
}
Being able to precisely predict the duration of concrete operations can help construction managers to organize sites and machineries more efficiently, especially when there is limited space for equipment on site. Currently there is no theoretical method for estimating the duration of the concrete pouring process. Normally, the maximum capacity of pumping facilities on construction sites is not used, and concrete pumps are idle for a considerable time as a result of the arrival of concrete… CONTINUE READING

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