Linear Scheduling Model with Varying Production Rates
Publication: Journal of Construction Engineering and Management
Volume 137, Issue 8
Abstract
Activity production rates drive the development and accuracy of linear schedules. The nature of linear projects dictates an assortment of variables that affect each activity’s production rate. The purpose of this research was to expand the capabilities of linear scheduling to account for variance in production rates when and where the variance occurs and to enhance the visual capabilities of linear scheduling. This new linear scheduling model, a linear scheduling model with varying production rates (), has two objectives. The first is to outline a framework to apply changes in production rates when and where they occur along the horizontal alignment of the project. The second objective is to illustrate the difficulty or ease of construction through the time-location chart. This research showed that the changes in production rates because of time and location can be modeled for use in predicting future construction projects. Using the concept of working windows, allows the scheduler to develop schedule durations on the basis of minimal project information. The model also allows the scheduler to analyze the impact of various routes or start dates for construction and the corresponding impact on the schedule. The graphical format allows the construction team to visualize the obstacles in the project when and where they occur by using a new feature called the activity performance index (API). This index is used to shade the linear scheduling chart by time and location with the variation in color indicating the variance in predicted production rate from the desired production rate.
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References
Chao, L., and Skibniewski, M. J. (1994). “Estimating construction productivity: Neural-network-based approach.” J. Comput. Civ. Eng., 8(2), 234–251.
Chong, W. K. (2005). “Construction production rate information system for highway projects.” Ph.D. thesis, Univ. of Texas, Austin, TX.
Chrzanowski, E. N., and Johnston, D. W. (1986). “Application of linear scheduling.” J. Constr. Eng. Manage., 112(4), 476–491.
Cosma, C. (2003). “Development of a systematic approach for uncertainty assessment in scheduling multiple repetitive construction processes by using fuzzy set theory.” Ph.D. thesis, Univ. of Florida, Gainesville, FL.
El-Sayegh, S. M. (1998). “Linear construction planning model (LCPM): A new model for planning and scheduling linear construction projects.” Ph.D. thesis, Texas A&M Univ., College Station, TX.
Harmelink, D. J. (1995). “Linear scheduling model: The development of a liner scheduling model with micro computer applications of highway construction control.” Ph.D. thesis, Iowa State Univ., Ames, IA.
Harmelink, D. J., and Rowings, J. E. (1998). “Linear scheduling model: Development of controlling activity path.” J. Constr. Eng. Manage., 124(4), 263–268.
Herbsman, Z. J. (1999). “The application of linear scheduling in the FDOT construction operation.” WPI #0510851, Florida Dept. of Transportation, Gainesville, FL.
Jiang, Y., and Wu, H. (2007). “Production rates of highway construction activities.” Int. J. Constr. Educ. Res., 3, 81–98.
Johnston, D. W. (1981). “Linear scheduling method for highway construction.” J. Const. Div., 107(2), 247–261.
Kuo, Y. (2004). “Highway earthwork and pavement production rates for construction time estimation.” Ph.D. thesis, Univ. of Texas, Austin, TX.
Liu, S. (1999). “Resource-constrained scheduling of linear projects: A heuristic approach using tabu search heuristics.” Ph.D. thesis, Purdue Univ., Lafayette, IN.
Mattila, K. G. (1997). “Resource leveling of linear schedules: A mathematical approach using integer linear programming.” Ph.D. thesis, Purdue Univ., Lafayette, IN.
O’Connor, J., and Huh, Y. (2005). “Crew production rates for contract time estimation: Bent footing, column, and cap of highway bridges.” J. Constr. Eng. Manage., 131(9), 1013–1020.
Smith, S. D. (1999). “Earthmoving productivity estimation using linear regression techniques.” J. Constr. Eng. Manage., 125(3), 0133–0141.
Vorster, M. C., Beliveau, Y. J., and Bafna, T. (1992). “Linear scheduling and visualization.” Transportation Research Record 1351, Transportation Research Board, Washington, DC, 32–39.
Yamin, R. A. (2001). “Cumulative effect of productivity rates in linear schedules.” Ph.D. thesis, Purdue Univ., Lafayette, IN.
Yen, C. (2005). “Simulated annealing for optimizing linear scheduling projects with multiple resource constraints.” Ph.D. thesis, Purdue Univ., Lafayette, IN.
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© 2011 American Society of Civil Engineers.
History
Received: Jan 10, 2010
Accepted: Nov 12, 2010
Published online: Nov 16, 2010
Published in print: Aug 1, 2011
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