Prioritization of Contracting Methods for Water and Wastewater Projects Using the Fuzzy Analytic Hierarchy Process Method
Autor: | Nerija Banaitiene, Hadi Sarvari, Daniel W. Chan, Timothy O. Olawumi, Behrouz Ashrafi |
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Rok vydání: | 2021 |
Předmět: |
Prioritization
Technology Control and Optimization Fuzzy analytic hierarchy process Operations research Renewable Energy Sustainability and the Environment Computer science Construction contract water Delphi method Energy Engineering and Power Technology Iran Weighting construction contract fuzzy analytic hierarchy process wastewater Key (cryptography) Pairwise comparison Electrical and Electronic Engineering Engineering (miscellaneous) Reliability (statistics) Energy (miscellaneous) |
Zdroj: | Energies; Volume 14; Issue 22; Pages: 7815 Energies, Vol 14, Iss 7815, p 7815 (2021) |
ISSN: | 1996-1073 |
DOI: | 10.3390/en14227815 |
Popis: | 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. |
Databáze: | OpenAIRE |
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