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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.

  • Type: Journal Article
  • Keywords: Scheduling; Leveling; Entropy; Resource-constrained scheduling; Leveling; Minimum moment method; Entropy;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000149
  • Abstract:
    The minimum moment method for resource leveling is revisited and restated as an entropy-maximization problem. The minimum moment method assumes that the moment of the daily resource demands about the horizontal axis of a project’s resource histogram is a good measure of the resource utilization and that the optimal resource allocation exists when the total moment is at a minimum, thus when the resource histogram is of rectangular shape. The entropy-maximization method proposed in this paper makes use of the general theory of entropy and two of its principal properties (subadditivity and maximality) to revisit the minimum moment method for resource leveling. The entropy-maximization method presented allows for activity stretching and provides resource allocation solutions that show improvement over previous approaches. A case study is also presented that validates the results.

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.

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.