Development of SECA multi criteria decision making method to optimally select contractors for green construction projects (Case study for Iran)
This study aims to develop a multi-objective decision-making technique, called Simultaneous Evaluation of Criteria and Alternatives (SECA), to optimally rank green construction project contractors. The SECA approach is formulated as a multi-objective nonlinear programming problem comprising three ob...
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| Vydané v: | Results in control and optimization Ročník 21; s. 100617 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
Elsevier B.V
01.12.2025
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| Predmet: | |
| ISSN: | 2666-7207, 2666-7207 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | This study aims to develop a multi-objective decision-making technique, called Simultaneous Evaluation of Criteria and Alternatives (SECA), to optimally rank green construction project contractors. The SECA approach is formulated as a multi-objective nonlinear programming problem comprising three objective functions: (1) maximizing the overall performance of alternatives, (2) minimizing the deviation of criteria weights from a reference point based on intra-criteria variation information, and (3) minimizing the deviation of criteria weights based on inter-criteria variation information, subject to two constraints on criteria weights. To implement the method, 16 key contractor prequalification criteria were first identified, followed by the selection of 10 qualified applicants. A decision matrix was constructed, and reference points were calculated. Variable weights for criteria and rankings of alternatives were obtained by coding the SECA method in Lingo software, considering different values of β. Determining the optimal β was a critical step, with values ranging from 0.1 to 7 evaluated. Results indicated that the maximum objective function value of 0.786 was achieved at β = 6, with the weight effect of the proposed price criterion being 0.0737. Contractor A3, with a score of 0.8887, was identified as the top-ranked contractor. Overall, the findings indicate that the SECA-based optimization method not only supports decision-makers in improving quality and reducing costs but also enhances transparency and trust in the selection process. By simultaneously evaluating criteria and alternatives and determining objective weights based on standard deviation and inter-criteria correlations, the method strengthens both transparency and reliability through reproducible and comparable analyses. |
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| ISSN: | 2666-7207 2666-7207 |
| DOI: | 10.1016/j.rico.2025.100617 |