In this paper, we present a general method to incorporate correlations between cost elements in the process of cost estimation. The proposed method first checks the feasibility of the correlation (Pearson or Spearman) matrix, adjusts it if necessary, then uses the correlations to generate correlated multivariate random vectors, which are employed to model possible outcomes of the cost elements. The method is applied to a full data set of 216 British office buildings to illustrate its practical use. The application result indicates that the impact of correlations is significant and may cause serious problems if neglected. The result is also used to validate that the proposed method can capture the correlations with relatively small deviations.
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 work suggests guidelines to meet the legal requirements for implementing the AHP in the BV contractor selection, and proposes several strategies to shorten the AHP implementation time. The lessons learned here are relevant to those countries in which BV method must be performed in a transparent and strictly regulated environment.
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