A Feedback Integrated Web-Based Multi-Criteria Group Decision Support Model for Contractor Selection using Fuzzy Analytic Hierarchy Process

The construction sector constitutes one of the most important sectors in the economy of any country. Many construction projects experience time and cost overruns due to wrong choice of contractors. In this paper, a feedback integrated multi-criteria group decision support model for contractor selection was proposed. The proposed model consists of two modules; technical evaluation module and financial evaluation module. The technical evaluation module is employed to screen out the contractors to a smaller set of acceptable contractors and the functionality of the module is based on Fuzzy Analytic Hierarchy Process (FAHP). The outputs of the technical evaluation module are fed into the financial evaluation module, taken into account bid price criterion, the differences between the project owner’s cost estimate and the bid prices are calculated. The contractor having the lowest value of such difference is awarded the contract. This research work introduced consistency module. In the case of high inconsistency, feedback and recommendation models are introduced. The system implementation was done using HTML, CSS, JavaScript and MongoDB. At the end of the selection procedure, contractor 5 ranked highest and is therefore recommended as most responsive contractor for the award of the contract.