APPLYING THE AHP TO SUPPORT THE BEST-VALUE CONTRACTOR SELECTION – LESSONS LEARNED FROM TWO CASE STUDIES IN TAIWAN
Author(s) -
WeiChih Wang,
Wender Yu,
ITung Yang,
ChunChang Lin,
MingTsung Lee,
Yuanyuan Cheng
Publication year - 2013
Publication title -
journal of civil engineering and management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.529
H-Index - 47
eISSN - 1822-3605
pISSN - 1392-3730
DOI - 10.3846/13923730.2012.734851
Subject(s) - analytic hierarchy process , procurement , weighting , work (physics) , best value , selection (genetic algorithm) , government (linguistics) , operations research , process (computing) , risk analysis (engineering) , computer science , engineering , management science , process management , operations management , business , artificial intelligence , marketing , mechanical engineering , operating system , philosophy , linguistics , medicine , radiology
Lately the Best-Value (BV) method for contractor selection has been receiving considerable attention in the public sector in many countries. However, the operations used in performing the BV method often differ due to the various government procurement requirements. Consequently, some of the methods popular in the academic community are not easily incorporated in the BV method in some countries. To enhance the procurement process, this study aims to gain experience by applying the well-known analytical hierarchy process (AHP) to weight the decision criteria for selecting BV contractors of two construction projects in Taiwan. Through these two case studies, this work confirms that the AHP provides a significant benefit for considering the individual preferences of all decision-makers when weighting the criteria. However, this study finds two major potential obstacles, the legal requirements associated with using the AHP and the time it takes to implement the AHP. To overcome these obstacles, this ...
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom