Construction Readiness for Highway Projects: Key Decision Criteria

Author(s):  
Afiqah R. Radzi ◽  
Rahimi A. Rahman ◽  
Shu Ing Doh ◽  
Muneera Esa
2003 ◽  
Author(s):  
Erica Dawson ◽  
Thomas Gilovich ◽  
Dennis Regan
Keyword(s):  

Author(s):  
Klaus D. Goepel

The analytic hierarchy process (AHP) remains a popular multi-criteria decision method. One topic under discussion of AHP is the use of different scales to translate judgments into ratios. The author makes a new approach to compare different scale functions and to derive a recommendation for the application of scales. The approach is based on simple analytic functions and takes into consideration the number of criteria of the decision problem. A generalization of the so-called balanced scale is proposed, and a new adaptive-balanced scale is introduced. Scales are then categorized and compared based on weight boundaries and weight ratios, weight uncertainties, weight dispersion and number of decision criteria. Finally, a practical example of a decision hierarchy is presented applying the different scales. The results show that the generalized balanced scale improves weight dispersion and weight uncertainty in comparison to the fundamental AHP scale. The proposed adaptive-balanced scale overcomes the problem of a change of the maximum weight depending on the number of decision criteria.


2001 ◽  
Vol 17 (4) ◽  
pp. 214-223 ◽  
Author(s):  
Keith R. Molenaar ◽  
Douglas D. Gransberg

Author(s):  
Larry G. Crowley ◽  
Jared L. Madewell

Public agencies generally let construction contracts to the lowest responsible, responsive bidder. In following this practice, agencies recognize there are higher risks of cost growth in awarding to either unusually low bids or to certain “claim-conscious” bidders. Despite this awareness, there are few documented studies supporting or quantifying the presence of these perceived competitive procurement risks. This research undertakes that specific task. First, bids and bidders on a sample of Alabama highway projects are grouped into risk categories by information available at the project bid opening—well in advance of any potential contract award— and without considering actual project performance data. Second, the cost growth experiences of these projects are statistically analyzed based upon these risk groupings. The results indicate that cost growth on Alabama highway projects is significantly more likely when projects are awarded to unusually low bids or to certain bidder types. A similar study performed earlier on Texas highway projects provides nearly identical results. This type of analysis and the derived information can be used by public agencies to amend the procurement process and objectively disqualify unusually low bids or questionable bidders without abandoning competitive procurement principles.


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