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Castro-Lacouture, D, Süer, G A, Gonzalez-Joaqui, J and Yates, J K (2009) Construction Project Scheduling with Time, Cost, and Material Restrictions Using Fuzzy Mathematical Models and Critical Path Method. Journal of Construction Engineering and Management, 135(10), 1096–104.
Chen, P, Qiang, M and Wang, J N (2009) Project Management in the Chinese Construction Industry: Six-Case Study. Journal of Construction Engineering and Management, 135(10), 1016–26.
El Asmar, M, Hanna, A S and Chang, C (2009) Monte Carlo Simulation Approach to Support Alliance Team Selection. Journal of Construction Engineering and Management, 135(10), 1087–95.
Hallowell, M R and Gambatese, J A (2009) Activity-Based Safety Risk Quantification for Concrete Formwork Construction. Journal of Construction Engineering and Management, 135(10), 990–8.
Ke, Y, Wang, S, Chan, A P and Cheung, E (2009) Research Trend of Public-Private Partnership in Construction Journals. Journal of Construction Engineering and Management, 135(10), 1076–86.
Lam, K, Ning, X and Lam, M C (2009) Conjoining MMAS to GA to Solve Construction Site Layout Planning Problem. Journal of Construction Engineering and Management, 135(10), 1049–57.
Ling, F Y Y, Pham, V M C and Hoang, T P (2009) Strengths, Weaknesses, Opportunities, and Threats for Architectural, Engineering, and Construction Firms: Case Study of Vietnam. Journal of Construction Engineering and Management, 135(10), 1105–13.
Moselhi, O and Alshibani, A (2009) Optimization of Earthmoving Operations in Heavy Civil Engineering Projects. Journal of Construction Engineering and Management, 135(10), 948–54.
- Type: Journal Article
- Keywords: Earthmoving; Optimization; Geographic information systems; Computer programming; Construction management;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(2009)135:10(948)
- Abstract:
Large scale earthmoving operations require the use of heavy and costly construction equipment. Optimum utilization of equipment is a crucial task for the project management team. It can result in substantial savings in both time and cost of earthmoving operations. This paper presents optimization model for earthmoving operations in heavy civil engineering projects. The developed model is designed to assist general contractor in optimizing planning of earthmoving operations. The model utilizes genetic algorithm, linear programming, and geographic information systems to support its management functions. The model assists in planning earthmoving operations; taking into consideration: (1) availability of resources to contractors; (2) project budget and/or time constraints, if any; (3) scope of work; (4) construction site conditions; (5) soil type; (6) project indirect cost; and (7) equipment characteristics. The model also determines the quantities of earth to be moved from different borrow pits and those to be placed at different landfill sites to meet optimization objective set by the user and to meet project constraints. The model has been implemented in prototype software, using object-oriented programming. Two numerical example projects are presented to validate and demonstrate the use of the developed model in optimizing earthmoving operations.
Orabi, W, El-Rayes, K, Senouci, A B and Al-Derham, H (2009) Optimizing Postdisaster Reconstruction Planning for Damaged Transportation Networks. Journal of Construction Engineering and Management, 135(10), 1039–48.
Prasertrungruang, T and Hadikusumo, B H W (2009) Modeling the Dynamics of Heavy Equipment Management Practices and Downtime in Large Highway Contractors. Journal of Construction Engineering and Management, 135(10), 939–47.
Rajendran, S and Gambatese, J A (2009) Development and Initial Validation of Sustainable Construction Safety and Health Rating System. Journal of Construction Engineering and Management, 135(10), 1067–75.
Rajendran, S, Gambatese, J A and Behm, M G (2009) Impact of Green Building Design and Construction on Worker Safety and Health. Journal of Construction Engineering and Management, 135(10), 1058–66.
Shapira, A and Simcha, M (2009) Measurement and Risk Scales of Crane-Related Safety Factors on Construction Sites. Journal of Construction Engineering and Management, 135(10), 979–89.
Skibniewski, M J and Ghosh, S (2009) Determination of Key Performance Indicators with Enterprise Resource Planning Systems in Engineering Construction Firms. Journal of Construction Engineering and Management, 135(10), 965–78.
Taylor, J E, Levitt, R and Villarroel, J A (2009) Simulating Learning Dynamics in Project Networks. Journal of Construction Engineering and Management, 135(10), 1009–15.
Tsai, J and Chi, C S F (2009) Influences of Chinese Cultural Orientations and Conflict Management Styles on Construction Dispute Resolving Strategies. Journal of Construction Engineering and Management, 135(10), 955–64.
Wang, P, Mohamed, Y, Abourizk, S M and Rawa, A R T (2009) Flow Production of Pipe Spool Fabrication: Simulation to Support Implementation of Lean Technique. Journal of Construction Engineering and Management, 135(10), 1027–38.
Wang, Y, Goodrum, P M, Haas, C T and Glover, R W (2009) Analysis of Observed Skill Affinity Patterns and Motivation for Multiskilling among Craft Workers in the U.S. Industrial Construction Sector. Journal of Construction Engineering and Management, 135(10), 999–1008.