DEVELOPMENT OF FUZZY DECISION MODEL FOR ETHIOPIAN CONSTRUCTION CONTRACTORS SELECTION

Choosing the right contractor to deliver a project in time, within budget and with better quality is the most significant decision-making process to ensure the successful completion of construction projects. As we are observing from day to day, many contractors failed to accomplish projects due to different reasons like labor problems, financial problems, poor performance, social and political problems, lack of safety considerations at worksite, management capability, etc. All these cases have led to the impression that the current scenario of awarding the contracts is inefficient in selecting the contractor capable of meeting the demands and challenges of present times and hence needs to be reviewed accordingly. The construction contractors’ selection under practice currently in Ethiopia screen out and makes out of competition those capable contractors at the time of technical evaluation which is not fair to lose the chance of competing for financial evaluation due to missing insignificant scores at the time of technical evaluation. The objectives of this research were to determine the most important criteria in construction contractor selection and develop decision support model using fuzzy analytical hierarchy process (FAHP) This study presenteda contractor selection model using fuzzy Analytical Hierarchy Process (FAHP). About 32 selection criteria were identified and grouped into 8 major criteria. The major criteria were weighted and a decision support model was developed and the validity of the developed model was tested in a real project (Case Study) supported by MATLAB software.