000			a
999			_c14447 _d14447
003			OSt
005			20210317125729.0
008			210222b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_913473 _aRao, M. V. Krishna
245			_aOptimal Contractor Selection in Construction Industry: The Fuzzy Way
250			_aVol,99 (1), March
260			_aKolkata _bSpringer _c2018
300			_a67--78p.
520			_apurely price-based approach to contractor selection has been identified as the root cause for many serious project delivery problems. Therefore, the capability of the contractor to execute the project should be evaluated using a multiple set of selection criteria including reputation, past performance, performance potential, financial soundness and other project specific criteria. An industry-wide questionnaire survey was conducted with the objective of identifying the important criteria for adoption in the selection process. In this work, a fuzzy set based model was developed for contractor prequalification/evaluation, by using effective criteria obtained from the percept of construction professionals, taking subjective judgments of decision makers also into consideration. A case study consisting of four alternatives (contractors in the present case) solicited from a public works department of Pondicherry in India, is used to illustrate the effectiveness of the proposed approach. The final selection of contractor is made based on the integrated score or Overall Evaluation Score of the decision alternative in prequalification as well as bid evaluation stages.
650		0	_94621 _aCivil Engineering
700			_913741 _aKumar, V. S. S.
773	0		_dSwitzerland Springer _x 2250-2149 _tJournal of the institution of engineers (India): Series A
856			_uhttps://link.springer.com/article/10.1007/s40030-018-0271-1 _yClick Here
942			_2ddc _cAR