An Integrated Framework for Managing Labour Resources Data in Industrial Construction Projects: A Knowledge Discovery in Data (KDD) Approach

• Author / Creator

  Hammad, Ahmed Mohamed

• Improper management of labour resources causes major problems for companies working on multiple industrial construction projects. To address these problems, an integrated framework is developed based on a five-step knowledge discovery in data model. The framework transfers existing multidimensional historical data from completed projects into useful knowledge for future projects.
  First, a synthesis of previous research is presented. Second, an inclusive analysis of the industrial construction domain is performed. Third, the concept of predefined progressable work packages is introduced to address issues in current data management practices. Fourth, a prototype data warehouse is built using the snowflake schema to centrally store the data, produce dynamic reports and exchange knowledge. Fifth, data mining techniques are applied to extract useful knowledge from three sets of real projects data.
  Results show that the developed framework is capable of transferring previously unanalyzed data to valuable knowledge that significantly improves current resources management practices.

• Subjects / Keywords

  • Labour Resources
  • Industrial Construction
  • Data Management
  • KDD

• Graduation date

  2009

• Type of Item

  Thesis

• Degree

  Doctor of Philosophy in Construction Engineering and Management

• DOI

  https://doi.org/10.7939/r3-a5nh-fj58

• License

  This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.