Integrated model of weighting and evaluating decision criteria for supporting best-value contractor selection

This study proposes an integrated model to facilitate the weightings and evaluations of tenders involved in the best-value contractor selection process. In the criteria weighting, an adaptive AHP approach (A ³) is applied. A ³ uses a soft computing scheme, genetic algorithms, to recover the weights of the various criteria based on the derived pairwise weighting matrix (PWM) of criteria. In the evaluations of tenders, two sub-models are proposed. The first sub-model is a bid price evaluation model (PRICE), and it is developed to deal with the quantitative criterion, i.e., bid price criterion. The second sub-model is a performance-based evaluation model (PERFORM), and it is employed to quantify the expected performances of other qualitative criteria for each bidder. The proposed model integrates with A ³, PRICE and PERFORM to support the best-value contractor selection. The benefits of this proposed model are demonstrated by applying it a real-world case project. Lessons learned from this case project are also summarized to provide future applications.