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  • 标题:Time Contingency Assessment in Construction Projects in Egypt using Artificial Neural Networks Model
  • 本地全文:下载
  • 作者:Hazem Yahia ; Hossam Hosny ; Mohammad E Abdel Razik
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:4
  • 出版社:IJCSI Press
  • 摘要:Time schedule is an essential tool for construction project management. For instance, it can materially help to identify the expected financial requirements. It is also an important tool for the time control process. Construction project time schedule is greatly affected by many uncertain but predictable factors. Hence, a certain percentage of time contingency should be added to the scheduled time to arrive at more reliable time schedule. In this research, the most important factors affecting time contingency in construction projects were identified based on a comprehensive survey among a collected sample of the Egyptian construction experts. In addition, a neural networks model was developed in order to help project planner to have a more reliable prediction for the amount of time contingency that should be added to the scheduled completion time. This paper explains the data collection process, lists the main factors affecting time contingency and discusses the model development methodology.
  • 关键词:Planning; Scheduling; Time; Contingency; Delay; Neural
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