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Productivity analysis of earthmoving operations

  • Author / Creator
    Gomez Rueda, Oscar J
  • Heavy construction and mining general contractors record on a daily basis large amount of operational data. Nevertheless, this information is rarely used to enhance the knowledge and capabilities of the companies that spent great amount of money and resources recording it. This research presents different approaches on how to process this data to convert it in useful information. The prime goal of this analysis is to determine a suitable and convenient method to obtain and present historical productivities of key equipment, in order to provide a tool to aid estimating and generate reference information to support decision making. Data mining, artificial neural networks and summarization tools proved to assist effectively in the assessment of historical productivities and in the identification of the attributes that most influence the results.

  • Subjects / Keywords
  • Graduation date
    2011-06
  • Type of Item
    Thesis
  • Degree
    Master of Science in
  • DOI
    https://doi.org/10.7939/R3XG83
  • 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.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Civil and Environmental Engineering
  • Supervisor / co-supervisor and their department(s)
    • Al-Hussein, Mohamed (Civil and Environmental Engineering) Supervisor
    • Abourizk, Simaan (Civil and Environmental Engineering) Co-supervisor
  • Examining committee members and their departments
    • Joseph, Tim (Civil and Environmental Engineering)
    • Bouferguene, Ahmed (Campus Saint-Jean)