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Evaluation of Cost Drivers for Field Canals Improvement Projects

Author

Listed:
  • Haytham H. Elmousalami

    (Zagazig University)

  • Ahmed H. Elyamany

    (Zagazig University)

  • Ahmed H. Ibrahim

    (Zagazig University)

Abstract

Field Canals Improvement Project (FCIP) aims to conserve fresh water. Several methods are existed to predict project preliminary cost. However, identification of model inputs remains a challenging task during model development. This study utilizes two procedures, Traditional Delphi Method (TDM) and Fuzzy Delphi Method (FDM), which are used for collecting and initially ranking cost drivers. According to the second approach, Fuzzy Analytic Hierarchy Process (FAHP) is used for finally ranking the screened parameters by FDM. Delphi rounds and Likert scale are conducted to determine the most important factors from the viewpoint of consultant engineers and contractors. Regression analysis and R square is used as a comparison criteria between traditional technique and fuzzy techniques. The study suggests using Fuzzy theory and Delphi method with Analytic Hierarchy Process in order to identify cost drivers efficiently. Paper contribution is proposing a methodology to evaluate cost drivers of FCIP using qualitative data such as experts’ opinions.

Suggested Citation

  • Haytham H. Elmousalami & Ahmed H. Elyamany & Ahmed H. Ibrahim, 2018. "Evaluation of Cost Drivers for Field Canals Improvement Projects," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(1), pages 53-65, January.
    • Handle: RePEc:spr:waterr:v:32:y:2018:i:1:d:10.1007_s11269-017-1747-x
    DOI: 10.1007/s11269-017-1747-x
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    References listed on IDEAS

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    1. Thomas L. Saaty, 1994. "How to Make a Decision: The Analytic Hierarchy Process," Interfaces, INFORMS, vol. 24(6), pages 19-43, December.
    2. Odysseus George Manoliadis & John-Paris Pantouvakis & Symeon Christodoulou, 2009. "Improving qualifications-based selection by use of the fuzzy Delphi method," Construction Management and Economics, Taylor & Francis Journals, vol. 27(4), pages 373-384.
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