Abstract
Selection of appropriate subcontractors for outsourcing is very important for the success of construction projects. This can improve the overall quality of projects and promote the qualification and reputation of the main contractors. The evaluation of subcontractors can be made by some experts or decision-makers with respect to some criteria. If this process is done in different time periods, it can be defined as a dynamic multi-criteria group decision-making (MCGDM) problem. In this study, we propose a new fuzzy dynamic MCGDM approach based on the EDAS (Evaluation based on Distance from Average Solution) method for subcontractor evaluation. In the procedure of the proposed approach, the sets of alternatives, criteria and decision-makers can be changed at different time periods. Also, the proposed approach gives more weight to newer decision information for aggregating the overall performance of alternatives. A numerical example is used to illustrate the proposed approach and show the application of it in subcontractor evaluation. The results demonstrate that the proposed approach is efficient and useful in real-world decision-making problems.
Highlights
Subcontracting is one of the most important characteristics of the construction industry
The completion time of a construction project and the reputation of the main contractor are heavily dependent on cooperation between a subcontractor and its main contractor [3]
Polat [2] presented an integrated multi-criteria decision-making (MCDM) approach based on analytic hierarchy process (AHP) and preference ranking organization method for enrichment evaluations (PROMETHEE), and applied it to the subcontractor selection problem
Summary
Subcontracting is one of the most important characteristics of the construction industry. The main contractor generally needs to evaluate its subcontractors in multiple periods of time This process makes the SEP into a dynamic MCGDM problem. Polat [2] presented an integrated MCDM approach based on AHP and preference ranking organization method for enrichment evaluations (PROMETHEE), and applied it to the subcontractor selection problem. Et al [24] presented a three-dimensional grey interval relational degree approach for dynamic multi-criteria decision-making problems. We propose a new dynamic fuzzy MCGDM approach based on the EDAS method for evaluation of subcontractors. The main advantage of the proposed approach is its flexibility so that we can define different sets of alternatives, criteria and decision-makers in different time periods and make the evaluation in a fuzzy environment.
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