Table 1 Overview of MCDM-based research applications in construction and related fields.
From: Innovative BWM–TOPSIS-based approach to determine the optimum delivery method for offshore projects
No. | Authors and year of publication | Research title | Field of application | Research objectives | MCDM techniques used | How each MCDM was used |
|---|---|---|---|---|---|---|
1 | Mahmoudi et al. 202018 | A Novel Model for Risk Management of Outsourced Construction Projects Using Decision-Making Methods | Risk Management in Construction Projects | Develop a decision-making framework to select contracts based on risk management for outsourced construction projects | Best–Worst Method (BWM). Grey Relation Analysis (GRA) | BWM was used to prioritize risk criteria, and GRA was used to rank the contract alternatives based on the calculated weights |
2 | Yazdani et al. 202019 | A Risk-Based Integrated Decision-Making Model for Green Supplier Selection: A Case Study of a Construction Company in Spain | Green Supplier Selection in Construction Projects | Create a structured model to evaluate green suppliers based on risk factors | DEMATEL FMEA, EDAS | DEMATEL analyzed relationships between risks, FMEA evaluated risks associated with suppliers, and EDAS ranked suppliers based on performance |
3 | Kishore et al. 202020 | Designing a Framework for Subcontractor’s Selection in Construction Projects Using an MCDM Model | Subcontractor Selection in Construction Projects | Develop a framework for evaluating subcontractors beyond bid price | Analytic Hierarchy Process (AHP). Simple Additive Weighting (SAW) | AHP weighed criteria, and SAW ranked subcontractors based on normalized values |
4 | Chen et al. 201921 | A Study for Project Risk Management Using an Advanced MCDM-Based DEMATEL-ANP Approach | Project Risk Management | Explore the relationships between project risks, management, and organizational performance | DEMATEL, ANP | DEMATEL analyzed causal relationships, and ANP calculated interdependent criteria weights |
5 | Tabatabace et al. (2021)22 | Towards the Success of Building Information Modelling Implementation: A Fuzzy-Based MCDM Risk Assessment Tool | BIM Implementation in Construction Projects | Develop a risk assessment tool for BIM implementation | Fuzzy Delphi, DEMATEL P. FANP | Fuzzy Delphi refined risk factors, DEMATEL analyzed causal relationships, and P-FANP calculated risk weights |
6 | Mahdi et al. 202123 | Decision model to identify the optimum retaining wall type for restricted highway projects sites | Retaining Systems in Construction | Determine the optimal strategy for retaining systems | Analytic Hierarchy Process (AHP) | AHP was used to evaluate different strategies and select the optimal retaining system |
7 | Mahdi et al. 201924 | Decision support system for optimum soft clay improvement technique for highway construction projects | Retaining Systems in Construction | Determine the optimal strategy for soft clay improvements for high way techniques | Analytic Hierarchy Process (AHP) | AHP was used to evaluate different strategies and select the optimal retaining system |
8 | Elhegazy et al. 202025 | Implementing QFD in decision making for selecting the optimal structural system for buildings | Structural System for Buildings | Find the optimal structural system for buildings | Quality Function Deployment (QFD) | QFD was used to analyze and select the best structural system based on predefined criteria |
9 | Ors et al. 202326 | Decision support system to select the optimum construction techniques for bridge piers | Bridge Construction Techniques | Determine the best construction technique for bridge piers | TOPSIS | TOPSIS was applied to rank construction techniques and select the most efficient one for bridge piers |
10 | Karamoozian et al. 20234 | Green supplier selection in the construction industry using a novel fuzzy decision- making approach | Environmentally Sustainable Supplier Selection | Address uncertainty in selecting sustainable suppliers for construction | Best–Worst Method (BWM), PDHFS, SIR | BWM was used to assign criterion weights, and SIR, with probabilistic dual hesitant fuzzy sets (PDHFS), improved the decision-making process for sustainable supplier selection |
11 | Karamoozian et al. 20234 | Risk assessment of occupational safety in construction projects using uncertain information | Occupational Safety Risk Assessment in Construction | Address uncertainties in construction safety risk assessment | DEMATEL Choquet Integral, TOPSIS, IFWA | DEMATEL analyzed risk interdependencies, Choquet Integral was used for analysis, and TOPSIS with IFWA prioritized risks with sensitivity analysis to ensure robust outcomes |
12 | Karamoozian et al. 20234 | Risk assessment of renewable energy projects using a novel hybrid fuzzy approach | Renewable Energy Investment Projects | Identify and prioritize risks in renewable energy investments | IT2HFS, DANP, QUALIFLEX | Interval Type 2 Hesitant Fuzzy Sets (IT2HFS) and DEMATEL-based Analytic Network Processing (DANP) with QUALIFLEX were used to prioritize risks like investment cost and technological maturity |
13 | Karamoozian and Wu 202427 | A Hybrid Approach for the Supply Chain Risk Assessment of the Construction Industry During the COVID-19 Pandemic | Supply Chain Risks during COVID-19 in Construction | Evaluate interrelated supply chain risks linked to the COVID-19 pandemic | Delphi. DEMATEL, IF- TOPSIS | Delphi was used to identify critical risk factors, DEMATEL analyzed risk interdependencies, and Intuitionistic Fuzzy TOPSIS (IF-TOPSIS) ranked the risks based on severity and impact |
14 | Gidiagba et al. 202328 | Sustainable Supplier Selection in the Oil and Gas Industry | Oil and Gas Industry | Develop an integrated MCDM model for sustainable supplier selection in the oil and gas industry | Delphi (criteria filtering). BWM (reduce inconsistencies), TOPSIS (supplier ranking) | Delphi filtered criteria, BWM reduced inconsistencies in weighting, and TOPSIS ranked the suppliers based on the final weights |
15 | Martins et al. 202029 | A Review of the Multicriteria Decision Analysis Applied to Oil and Gas Decommissioning Problems | Oil and Gas Industry (Decommissioning) | Review of MCDM applied to decommissioning in the oil and gas sector | Various Multi Criteria Decision Analysis (MCDA) methods including AHP and DEMATEL | AHP identified important criteria, DEMATEL analyzed the interrelations between the risks |
16 | Khalidov et al. 202330 | Models for the Multicriteria Selection of Options for Decommissioning Projects for Offshore Oil and Gas Structures | Offshore Oil and Gas | Optimize decommissioning processes for oil and gas facilities | AHP. multi-criteria risk assessment | AHP was used to weigh decommissioning options, while multi-criteria risk assessment was used to evaluate quantitative and qualitative risks |
17 | Wang et al. 20183 | A Multi-Criteria Decision-Making Approach Using Hybrid SCOR Metrics, AHP, and TOPSIS for Supplier Evaluation and Selection in the Gas and Oil Industry | Gas and Oil Industry (Supplier Evaluation) | Propose a hybrid MCDM for supplier evaluation in the gas and oil industry | Supply Chain Operations Reference (SCOR) for metrics (criteria), AHP (factor weighting), TOPSIS (ranking) | SCOR was used to select criteria, AHP was used to weigh the factors, and TOPSIS ranked the suppliers |
18 | Dehdasht et al. 201731 | DEMATEL-ANP Risk Assessment in Oil and Gas Construction Projects | Oil and Gas Construction Projects | Propose a risk assessment framework for oil and gas construction projects | DEMATEL (causal relationships). ANP (weighting) | DEMATEL was used to identify causal relationships among risks, and ANP calculated the risk weights based on interdependencies |
19 | Tsakalerou et al. 202232 | An Intelligent Methodology for the Use of Multi-Criteria Decision Analysis in Impact Assessment: The Case of Real-World Offshore Construction | Offshore Construction | Develop a methodology for impact assessment in offshore construction | Various Multi Criteria Decision Analysis (MCDA ) tools | Various MCDA tools were used to evaluate and prioritize stakeholder concerns and project impacts |
