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Ammar, M A (2011) Optimization of Project Time-Cost Trade-Off Problem with Discounted Cash Flows. Journal of Construction Engineering and Management, 137(01), 65–71.

Gull, I (2011) Testing of Strength of Recycled Waste Concrete and Its Applicability. Journal of Construction Engineering and Management, 137(01), 1–5.

Hariga, M and El-Sayegh, S M (2011) Cost Optimization Model for the Multiresource Leveling Problem with Allowed Activity Splitting. Journal of Construction Engineering and Management, 137(01), 56–64.

Hassan, M M, Odeh, I and El-Rayes, K (2011) New Approach to Compare Glare and Light Characteristics of Conventional and Balloon Lighting Systems. Journal of Construction Engineering and Management, 137(01), 39–44.

Lucko, G (2011) Integrating Efficient Resource Optimization and Linear Schedule Analysis with Singularity Functions. Journal of Construction Engineering and Management, 137(01), 45–55.

  • Type: Journal Article
  • Keywords: Scheduling; Linear analysis; Linear functions; Two-dimensional analysis; Computation; Construction management; Scheduling; Linear analysis; Linear functions; Two-dimensional analysis; Resources; Profiles; Optimization models; Genetic algorithms; Evolution
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000244
  • Abstract:
    Resources perform or enable physical operations and thus are vital on construction projects, yet are subject to various constraints. Their use within a project schedule must therefore be carefully planned. A major objective is optimizing when they are active within the float of noncritical activities to avoid disruptive and costly fluctuations. This paper builds on analyzing criticality of linear schedules with the unique singularity functions. The new approach keeps resources intact and derives one flexible equation for the complete resource profile of a schedule, including any timing or resource rate changes. Another equation models its first moment of area to minimize the objective function toward a level profile. A genetic algorithm is suitable for an iterative optimization. The parameters of its chromosomes are recombined evolutionarily and can model any permutation. Analyzing a road project illustrates how singularity functions integrate resource optimization with its linear schedule and facilitate a subsequent optimization.

Mitropoulos, P and Namboodiri, M (2011) New Method for Measuring the Safety Risk of Construction Activities: Task Demand Assessment. Journal of Construction Engineering and Management, 137(01), 30–38.

Rashidi, A, Jazebi, F and Brilakis, I (2011) Neurofuzzy Genetic System for Selection of Construction Project Managers. Journal of Construction Engineering and Management, 137(01), 17–29.

Regan, M, Smith, J and Love, P E D (2011) Impact of the Capital Market Collapse on Public-Private Partnership Infrastructure Projects. Journal of Construction Engineering and Management, 137(01), 6–16.

Shen, X, Lu, M and Chen, W (2011) Tunnel-Boring Machine Positioning during Microtunneling Operations through Integrating Automated Data Collection with Real-Time Computing. Journal of Construction Engineering and Management, 137(01), 72–85.

Zhou, Q, Fang, D and Mohamed, S (2011) Safety Climate Improvement: Case Study in a Chinese Construction Company. Journal of Construction Engineering and Management, 137(01), 86–95.