TY  - CONF
TI  - Integrated Model of Weighting and Evaluating Decision Criteria for Supporting Best-Value Contractor Selection
AU  - Lin, Chun-Chang
AU  - Wang, Wei-Chih
AU  - Yu, Wen-Der
AD  - PhD, Department of Civil Engineering, National Chiao Tung University, Taiwan, Phone +886 4/2392-8036, cclin.janet@msa.hinet.net.
AD  - Professor, Department of Civil Engineering, National Chiao Tung University, Taiwan, Phone +886 3/571-2121 ext. 54952, FAX 3/571-6257, weichih@mail.nctu.edu.tw.
AD  - Professor, Department of Construction Engineering, Chung Hua University, Taiwan, Phone +886 3/518-6748, FAX 3/537-0517, wenderyu@chu.edu.tw.
ED  - Cuperus, Ype
ED  - Hirota, Ercilia Hitomi
PY  - 2009
DA  - 2009/07/15
T2  - 17th Annual Conference of the International Group for Lean Construction
C3  - 17th Annual Conference of the International Group for Lean Construction
CY  - Taipei, Taiwan
SP  - 419
EP  - 430
AB  - 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 (A3) is applied. A3 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 A3, 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.
KW  - contractor selection
KW  - analytic hierarchy process
KW  - adaptive AHP approach
KW  - performance
KW  - utility function.
L1  - https://www.iglc.net/papers/details/656/pdf
UR  - https://www.iglc.net/papers/details/656
DB  - IGLC.net
LA  - English
N1  - Export date: 04 October 2026
ER  -