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Prioritization of Contracting Methods for Water and Wastewater Projects Using the Fuzzy Analytic Hierarchy Process Method

Sarvari, Hadi; Chan, Daniel W. M.; Ashrafi, Behrouz; Olawumi, Timothy O.; Banaitiene, Nerija

Authors

Hadi Sarvari

Daniel W. M. Chan

Behrouz Ashrafi

Nerija Banaitiene



Abstract

This study uses the fuzzy analytical hierarchy process (FAHP) method to prioritize contracting methods to determine the most suitable contract option for water and wastewater projects (WWP). Content analysis, a two-round Delphi survey technique, and a series of validation and reliability tests helped establish the 18 key criteria for FAHP analysis. Consequently, data collected from experts through a pairwise comparison questionnaire form the basis for the inputs for the FAHP analysis. Consequently, the final weightings were derived for each of the key criteria and available contracting methods. The results indicate that the bilateral, cooperative, and trilateral contracting methods are the most suitable for WWP in Iran, with the highest weighting. The study provides useful guidance for the top management of project firms in selecting the optimal contracting method for their projects and offers significant contributions from theoretical and practical perspectives.

Journal Article Type Article
Acceptance Date Nov 16, 2021
Online Publication Date Nov 22, 2021
Publication Date 2021
Deposit Date Nov 25, 2021
Publicly Available Date Nov 26, 2021
Journal Energies
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 14
Issue 22
Article Number 7815
DOI https://doi.org/10.3390/en14227815
Keywords fuzzy analytic hierarchy process; construction contract; water; wastewater; Iran
Public URL http://researchrepository.napier.ac.uk/Output/2824530
Publisher URL https://www.mdpi.com/journal/energies

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Prioritization Of Contracting Methods For Water And Wastewater Projects Using The Fuzzy Analytic Hierarchy Process Method (1.2 Mb)
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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.




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