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Bi, L, Ren, B, Zhong, D and Hu, L (2015) Real-Time Construction Schedule Analysis of Long-Distance Diversion Tunnels Based on Lithological Predictions Using a Markov Process. Journal of Construction Engineering and Management, 141(02).

Boz, M A and El-adaway, I H (2015) Creating a Holistic Systems Framework for Sustainability Assessment of Civil Infrastructure Projects. Journal of Construction Engineering and Management, 141(02).

Kaminsky, J and Javernick-Will, A (2015) Theorizing the Internal Social Sustainability of Sanitation Organizations. Journal of Construction Engineering and Management, 141(02).

Kashani, H, Ashuri, B, Shahandashti, S M and Lu, J (2015) Investment Valuation Model for Renewable Energy Systems in Buildings. Journal of Construction Engineering and Management, 141(02).

Lee, S (2015) Determination of Priority Weights under Multiattribute Decision-Making Situations: AHP versus Fuzzy AHP. Journal of Construction Engineering and Management, 141(02).

Lei, Z, Han, S, Bouferguène, A, Taghaddos, H, Hermann, U and Al-Hussein, M (2015) Algorithm for Mobile Crane Walking Path Planning in Congested Industrial Plants. Journal of Construction Engineering and Management, 141(02).

Leung, M, Bowen, P, Liang, Q and Famakin, I (2015) Development of a Job-Stress Model for Construction Professionals in South Africa and Hong Kong. Journal of Construction Engineering and Management, 141(02).

Li, H, Xu, Z and Demeulemeester, E (2015) Scheduling Policies for the Stochastic Resource Leveling Problem. Journal of Construction Engineering and Management, 141(02).

  • Type: Journal Article
  • Keywords: Project scheduling; Scheduling policies; Stochastic resource leveling problem; Stochastic activity durations; Tabu search; Cost and schedule;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000936
  • Abstract:
    When uncertainties come into play, the leveled baseline schedule obtained by solving the deterministic resource leveling problem can hardly be executed as planned and this schedule may even become infeasible. In addition, traditional stochastic methods may also suffer from not being able to produce satisfactorily leveled schedules. Therefore, there is a pressing need for new procedures that are capable of dealing with resource leveling subject to uncertainties. The writers study the resource leveling problem subject to activity durations uncertainty where the usage of renewable resources needs to be leveled over time. Two heuristics for producing scheduling policies are presented with the objective of minimizing the expected sum of the weighted coefficient of variation of the resource usage. The two heuristics represent two different ways of tackling the stochastic resource leveling problem. The first heuristic, a modified version of the Burgess and Killebrew leveling procedure, obtains a scheduling policy by solving the deterministic equivalent of the stochastic resource leveling problem. The second heuristic, a simulation-based tabu search procedure, directly works with the stochastic resource leveling problem. Computational experiments are conducted on the well-known project scheduling problem library (PSPLIB) J90 instances.

Liao, C (2015) Optimal Inspection Strategies for Labor Inspection in the Construction Industry. Journal of Construction Engineering and Management, 141(02).

Lu, W, Zhang, L and Li, Z (2015) Influence of Negotiation Risk Attitude and Power on Behaviors and Outcomes When Negotiating Construction Claims. Journal of Construction Engineering and Management, 141(02).

Mostafa, M A and El-Gohary, N M (2015) Semantic System for Stakeholder-Conscious Infrastructure Project Planning and Design. Journal of Construction Engineering and Management, 141(02).

Russell, M M, Liu, M, Howell, G and Hsiang, S M (2015) Case Studies of the Allocation and Reduction of Time Buffer through Use of the Last Planner System. Journal of Construction Engineering and Management, 141(02).

Sun, Y and Zhang, L (2015) Balancing Public and Private Stakeholder Interests in BOT Concessions: Minimum Revenue Guarantee and Royalty Scheme Applied to a Water Treatment Project in China. Journal of Construction Engineering and Management, 141(02).