TY - JOUR
T1 - A Fuzzy-based decision-support system
T2 - For the analysis of suitability of megaproject delivery methods
AU - Al Nahyan, Moza T.
AU - Hawas, Yaser E.
AU - Sherif, Mohammad
AU - Basheerudeen, Basil
N1 - Funding Information:
The authors would like to acknowledge the research project funds (Grants # 31R064 and 21R018) by the UAE University and the UAE Ministry of Higher Education and Scientific Research.
Publisher Copyright:
© 2019 Editora Mundos Sociais. All rights reserved.
PY - 2019
Y1 - 2019
N2 - This article describes the Decision Support System (DSS) for identifying the best delivery methods for megaprojects, based on risk factors, opportunities for investments, and project constraints. In addition, the system accounts for the relative importance of various stakeholders' roles at different stages of a mega infrastructure project. A fuzzy-based multi-criterion decisionmaking technique used to develop the DSS assists the client to depict his/her best choices of contractual delivery methods. Further, the system provides the best mix of stakeholder entities that would likely provide the best environment for the project success. A two-step system calibration procedure was considered, including the expert judgment of 192 key stakeholder professionals worldwide. The fuzzy model performance was illustrated using default factor sets and sample inputs of differing weights for project risks, constraints, opportunities and the other critical categories affecting the decision-making process. Based on model results, the conventional delivery method (e.g., Design Bid Build) is least recommended if the project risk weighs more than 30%, as provided by the user. With such an intricate system, the client can investigate the specifics of various project stages and study the effects of enhancements or deficiencies of the stakeholder entities' capabilities.
AB - This article describes the Decision Support System (DSS) for identifying the best delivery methods for megaprojects, based on risk factors, opportunities for investments, and project constraints. In addition, the system accounts for the relative importance of various stakeholders' roles at different stages of a mega infrastructure project. A fuzzy-based multi-criterion decisionmaking technique used to develop the DSS assists the client to depict his/her best choices of contractual delivery methods. Further, the system provides the best mix of stakeholder entities that would likely provide the best environment for the project success. A two-step system calibration procedure was considered, including the expert judgment of 192 key stakeholder professionals worldwide. The fuzzy model performance was illustrated using default factor sets and sample inputs of differing weights for project risks, constraints, opportunities and the other critical categories affecting the decision-making process. Based on model results, the conventional delivery method (e.g., Design Bid Build) is least recommended if the project risk weighs more than 30%, as provided by the user. With such an intricate system, the client can investigate the specifics of various project stages and study the effects of enhancements or deficiencies of the stakeholder entities' capabilities.
KW - Fuzzy logic model
KW - Megaprojects
KW - Project delivery methods
KW - Project risk
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U2 - 10.19255/JMPM01907
DO - 10.19255/JMPM01907
M3 - Article
AN - SCOPUS:85072398782
SN - 2317-3963
VL - 7
SP - 120
EP - 137
JO - Journal of Modern Project Management
JF - Journal of Modern Project Management
IS - 1
ER -