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Ahuja, V, Yang, J and Shankar, R (2010) Benchmarking Framework to Measure Extent of ICT Adoption for Building Project Management. Journal of Construction Engineering and Management, 136(05), 538–45.

Alnuaimi, A S, Taha, R A, Al Mohsin, M and Al-Harthi, A S (2010) Causes, Effects, Benefits, and Remedies of Change Orders on Public Construction Projects in Oman. Journal of Construction Engineering and Management, 136(05), 615–22.

Chan, A P C, Lam, P T I, Chan, D W M, Cheung, E and Ke, Y (2010) Critical Success Factors for PPPs in Infrastructure Developments: Chinese Perspective. Journal of Construction Engineering and Management, 136(05), 484–94.

Chan, D W M, Chan, A P C, Lam, P T I and Wong, J M W (2010) Empirical Study of the Risks and Difficulties in Implementing Guaranteed Maximum Price and Target Cost Contracts in Construction. Journal of Construction Engineering and Management, 136(05), 495–507.

Cheung, S O, Yiu, T W and Chan, H W (2010) Exploring the Potential for Predicting Project Dispute Resolution Satisfaction Using Logistic Regression. Journal of Construction Engineering and Management, 136(05), 508–17.

Christodoulou, S E, Ellinas, G and Michaelidou-Kamenou, A (2010) Minimum Moment Method for Resource Leveling Using Entropy Maximization. Journal of Construction Engineering and Management, 136(05), 518–27.

Creedy, G D, Skitmore, M and Wong, J K W (2010) Evaluation of Risk Factors Leading to Cost Overrun in Delivery of Highway Construction Projects. Journal of Construction Engineering and Management, 136(05), 528–37.

Elyamany, A and Abdelrahman, M (2010) Contractor Performance Evaluation for the Best Value of Superpave Projects. Journal of Construction Engineering and Management, 136(05), 606–14.

  • Type: Journal Article
  • Keywords: Procurement; Quality control; Pavements; Contractors; Simulation; Highways and roads; Payment; Best value; Procurement; Quality control; Pavement; Contractors; Simulation; Highway construction; Payment;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000158
  • Abstract:
    The best-value (BV) procurement process uses other key factors as well as bid price in the evaluation and selection of the best-performing contractor for the job. Contract time, lane rental, warranty, and quality of delivered product are examples of the key factors that indicate the contractor-expected performance. Literature on best value shows a need for analyzing the past performance of the contractor in similar jobs as an indicator of his/her qualification trend. This paper addresses this issue and proposes a methodology to incorporate quality of delivered product in the BV procurement system of asphalt construction. The paper uses past quality control (QC) testing results and utilizes Monte Carlo simulation to estimate the probability that the contractor gets full payment as an indication of qualification trend. The QC data were obtained from the Nebraska Department of Roads for a number of Superpave pavement projects. The results show the possibility of assigning a quality score for the contractor based on the past performance. This paper contributes to the current practice of best value with a new approach of employing QC as part of the selection process.

Horta, I M, Camanho, A S and Da Costa, J M (2010) Performance Assessment of Construction Companies Integrating Key Performance Indicators and Data Envelopment Analysis. Journal of Construction Engineering and Management, 136(05), 581–94.

Javernick-Will, A N and Scott, W R (2010) Who Needs to Know What? Institutional Knowledge and Global Projects. Journal of Construction Engineering and Management, 136(05), 546–57.

Klotz, L and Horman, M (2010) Counterfactual Analysis of Sustainable Project Delivery Processes. Journal of Construction Engineering and Management, 136(05), 595–605.

Lim, J N, Schultmann, F and Ofori, G (2010) Tailoring Competitive Advantages Derived from Innovation to the Needs of Construction Firms. Journal of Construction Engineering and Management, 136(05), 568–80.

Rezgui, Y and Miles, J (2010) Exploring the Potential of SME Alliances in the Construction Sector. Journal of Construction Engineering and Management, 136(05), 558–67.

Yang, L and Shi, J J (2010) Experimental Study on the Impact of Rainfall on RCC Construction. Journal of Construction Engineering and Management, 136(05), 477–83.