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Bernold, L E (2003) Economic Model to Optimize Underground Utility Protection. Journal of Construction Engineering and Management, 129(06), 645–52.

Chin, K S and Choi, T W (2003) Construction in Hong Kong: Success Factors for ISO9000 Implementation. Journal of Construction Engineering and Management, 129(06), 599–609.

Chua, D K H, Tyagi, A, Ling, S and Bok, S H (2003) Process-Parameter-Interface Model for Design Management. Journal of Construction Engineering and Management, 129(06), 653–63.

Harmon, K M J (2003) Effectiveness of Dispute Review Boards. Journal of Construction Engineering and Management, 129(06), 674–9.

Hegazy, T and Kassab, M (2003) Resource Optimization Using Combined Simulation and Genetic Algorithms. Journal of Construction Engineering and Management, 129(06), 698–705.

  • Type: Journal Article
  • Keywords: Simulation; Construction management; Algorithms; Computer applications; Resource management; construction industry; resource allocation; genetic algorithms; civil engineering computing; management;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2003)129:6(698)
  • Abstract:
    This paper presents a new approach for resource optimization by combining a flow-chart based simulation tool with a powerful genetic optimization procedure. The proposed approach determines the least costly, and most productive, amount of resources that achieve the highest benefit/cost ratio in individual construction operations. To further incorporate resource optimization into construction planning, various genetic algorithms (GA)-optimized simulation models are integrated with commonly used project management software. Accordingly, these models are activated from within the scheduling software to optimize the plan. The result is a hierarchical work-breakdown-structure tied to GA-optimized simulation models. Various optimization experiments with a prototype system on two case studies revealed its ability to optimize resources within the real-life constraints set in the simulation models. The prototype is easy to use and can be used on large size projects. Based on this research, computer simulation and genetic algorithms can be an effective combination with great potential for improving productivity and saving construction time and cost.

Jaselskis, E J and El-Misalami, T (2003) Implementing Radio Frequency Identification in the Construction Process. Journal of Construction Engineering and Management, 129(06), 680–8.

Korman, T M, Fischer, M A and Tatum, C B (2003) Knowledge and Reasoning for MEP Coordination. Journal of Construction Engineering and Management, 129(06), 627–34.

Li, H, Kong, C W, Pang, Y C, Shi, W Z and Yu, L (2003) Internet-Based Geographical Information Systems System for E-Commerce Application in Construction Material Procurement. Journal of Construction Engineering and Management, 129(06), 689–97.

Mohamed, S (2003) Performance in International Construction Joint Ventures: Modeling Perspective. Journal of Construction Engineering and Management, 129(06), 619–26.

Moselhi, O and Hassanein, A (2003) Optimized Scheduling of Linear Projects. Journal of Construction Engineering and Management, 129(06), 664–73.

Sui Pheng, L and Hongbin, J (2003) Internationalization of Chinese Construction Enterprises. Journal of Construction Engineering and Management, 129(06), 589–98.

Yates, J K and Battersby, L C (2003) Master Builder Project Delivery System and Designer Construction Knowledge. Journal of Construction Engineering and Management, 129(06), 635–44.

Ye, S and Tiong, R L K (2003) Effects of Tariff Design in Risk Management of Privately Financed Infrastructure Projects. Journal of Construction Engineering and Management, 129(06), 610–8.