Contractor Ranking Model with Approach to Reduce Construction Project Delays and Optimization of Coefficients by Genetic Algorithm

Document Type : Research Article


Department of Civil Engineering, Payame Noor University, Iran


In Iran, the Management and Planning Organization is responsible for classifying and determining the qualifications of contractors and uses criteria to assess the ability and competence of contractors. One of the factors evaluating the productivity of a project is time and the impact of the contractor's performance on this index is undeniable. Therefore, in this study, a model for ranking contractors with the approach of reduction in delays in construction projects is presented. In this model, in addition to the criteria of the Regulations for Competence of Contractors of the Plan and Budget Organization, according to extensive research in previous studies and the opinion of relevant experts, using the FMEA method, four other criteria are identified as effective criteria for delay and severity to select a contractor. Eight criteria were modeled through genetic algorithm method so that the existing documents of contracting companies in the Isfahan Municipality Deputy for Urban Development were collected and considered as model input data. After analyzing them with the model and comparing the qualification score with the existing score of the Company, the final model was extracted. The average variable of the percentage of unauthorized delays for the contract period showed a correlation intensity of 0.712 with the relationship of the proposed qualification score. Finally, by calculating the qualification score and ranking in the proposed model, the relocation of a number of companies and the decline from the previous position was seen due to unauthorized delays, so that sometimes it even led to a change in the company's rating. Comparing the qualification score of the two models, a change in slope from 1.3% to 8.9% was also seen, which indicated the effect of the proposed criteria on the qualification score.


Main Subjects

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