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Aoieong, R T, Tang, S L and Ahmed, S M (2002) A process approach in measuring quality costs of construction projects: model development. Construction Management and Economics, 20(02), 179-92.

Drew, D S, Lai, P Y, Li, H and Lo, H P (2002) Correcting the fee-technical score variability imbalance in two-envelope fee tendering. Construction Management and Economics, 20(02), 157-66.

Haan, J D, Voordijk, H and Joosten, G-J (2002) Market strategies and core capabilities in the building industry. Construction Management and Economics, 20(02), 109-18.

Ho, S P and Liu, L Y (2002) An option pricing-based model for evaluating the financial viability of privatised infrastructure projects. Construction Management and Economics, 20(02), 143-56.

Leu, S-S and Hung, T-H (2002) A genetic algorithm-based optimal resource-constrained schedule simulation model. Construction Management and Economics, 20(02), 131-41.

  • Type: Journal Article
  • Keywords: resource allocation; genetic algorithms; scheduling; construction simulation
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190110109148
  • Abstract:

    Resources for construction activities are limited in the real construction world so that scheduling must include resource allocation. Furthermore, activity duration is uncertain due to the variation in the outside environment, such as resource availabilities, weather, space congestion, etc. A new optimal resource-constrained construction scheduling simulation model is proposed in this paper, in which the effects of both uncertain activity duration and resource constraints are taken into account. Probability distribution is used to model the uncertainties of activity duration. An optimal schedule simulation model is then established in which a genetic algorithm-based search technique is adopted to search for the probabilistic optimal project duration under resource constraints. The model can effectively provide the optimal averaged project duration, cumulative project completion probabilities and the impact of influence factors on the probabilistic resource-constrained scheduling problem

Nicolini, D (2002) In search of 'project chemistry'. Construction Management and Economics, 20(02), 167-77.

Sing, T-F (2002) Time to build options in construction processes. Construction Management and Economics, 20(02), 119-30.