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Abdul-Aziz, A (2001) Unraveling of BOT Scheme: Malaysia's Indah Water Konsortium. Journal of Construction Engineering and Management, 127(06), 457–60.

AbouRizk, S, Knowles, P and Hermann, U R (2001) Estimating Labor Production Rates for Industrial Construction Activities. Journal of Construction Engineering and Management, 127(06), 502–11.

Allouche, E N, Ariaratnam, S T and AbouRizk, S M (2001) Applications of Horizontal Characterization Techniques in Trenchless Construction. Journal of Construction Engineering and Management, 127(06), 476–84.

Gerber, J K and Yacoubian, G S (2001) Evaluation of Drug Testing in the Workplace: Study of the Construction Industry. Journal of Construction Engineering and Management, 127(06), 438–44.

Hegazy, T and Ersahin, T (2001) Simplified Spreadsheet Solutions. I: Subcontractor Information System. Journal of Construction Engineering and Management, 127(06), 461–8.

Hegazy, T and Ersahin, T (2001) Simplified Spreadsheet Solutions. II: Overall Schedule Optimization. Journal of Construction Engineering and Management, 127(06), 469–75.

  • Type: Journal Article
  • Keywords:
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2001)127:6(469)
  • Abstract:
    Overall schedule optimization, considering time, cost, and resource constraints is a difficult task due to the inherent complexity of projects, the difficulties associated with modeling all aspects combined, and the inability of traditional optimization tools to solve this large-size problem. In this paper, a practical approach is presented for the modeling and optimization of overall construction schedules. To simplify modeling, a spreadsheet-based model is developed to be easily usable by practitioners. The spreadsheet model integrates critical-path network scheduling with time-cost trade-off analysis, resource allocation, resource leveling, and cash flow management. The model uses the total project cost as the objective function to be minimized. To facilitate this large-size optimization, a nontraditional optimization technique, genetic algorithms, is used to locate the globally optimal solution, considering all aspects simultaneously. Details of the proposed model are described, and a hypothetical case study was used to experiment with it. Integration of the model with a simple information system is described to automate the development of optimal construction schedules.

Isidore, L J and Back, W E (2001) Probabilistic Optimal-Cost Scheduling. Journal of Construction Engineering and Management, 127(06), 431–7.

Lowe, D J and Skitmore, R M (2001) Human Effects in Construction Contract Price Forecasting: Experience and Experiential Learning Styles. Journal of Construction Engineering and Management, 127(06), 485–93.

Pena-Mora, F and Park, M (2001) Dynamic Planning for Fast-Tracking Building Construction Projects. Journal of Construction Engineering and Management, 127(06), 445–56.

Pheng, L S and Chuan, C J (2001) Just-in-Time Management of Precast Concrete Components. Journal of Construction Engineering and Management, 127(06), 494–501.