Abstracts – Browse Results
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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.
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.
- Type: Journal Article
- Keywords: Scheduling; Models; Construction industry; Dynamic programming; Optimization; scheduling; construction industry; optimal control; dynamic programming; modelling; civil engineering;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(2003)129:6(664)
- Abstract:
This paper presents a model, designed to optimize scheduling of linear projects. The model employs a two-state-variable, N-stage, dynamic programming formulation, coupled with a set of heuristic rules. The model is resource-driven, and incorporates both repetitive and nonrepetitive activities in the optimization process to generate practical and near-optimal schedules. The model optimizes either project construction duration, total cost, or their combined impact for what is known as cost-plus-time bidding, also referred to as A+B bidding. The model has a number of interesting and practical features. It supports multiple crews to work simultaneously on any activity, while accounting for: (1) multiple successors and predecessors with specified lead and lag times; (2) the impact of transverse obstructions, such as rivers and creeks, on crew assignments and associated time and cost; (3) the effect of inclement weather and learning curve on crew productivity; and (4) variations in quantities of work in repetitive activities from one unit to another. The model is implemented in a prototype software that operates in Windows® environment. It is developed utilizing object-oriented programming, and provides for automated data entry. Several graphical and tabular output reports can be generated. An example project, drawn from the literature, is analyzed to demonstrate the features of the developed model.
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.