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 the wrong choice of contractors. In this paper, the 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 the Fuzzy Analytic Hierarchy Process (FAHP). The outputs of the technical evaluation module are fed into the financial evaluation module, taken into account the 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 a 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 the most responsive contractor for the award of the contract.
In recent years, contractors play a major role in construction projects of buildings, roads, or waterworks under supervision of project owners or employers of these projects. Selecting the most suitable contractor for a construction project is a crucial decision for owners and project managers alike. Ranking the candidate contractors has become a key challenge for firms and enterprises. The study identified and assessed the existing contractors' decision criteria and then rank the decision criteria used for selecting contractor in Federal Universities in Nigeria with the aim of providing information that could enhance contractor's selection in construction project. Data were collected with the aid of structured questionnaires. 60 questionnaires were distributed to construction professionals/ staff of which 55 responses were returned and 50 used for analysis. Information gathered includes the major contractors' prequalification criteria. The collected data were analyzed and rank in order of priority using the AHP interface in Microsoft Excel. The results showed that Technical capability of contractors ranked the most important of the existing prequalification criterion followed by Management capability among others. The study concluded that past performance of contractors was the most important existing criterion for contractor pre-qualification in the study area among others while the most determinant factor in the choice of these criteria was contractor's resources, which must be considered in the selection of contractors.
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