Multi-objective symbiotic organisms optimization for making time-cost tradeoffs in repetitive project scheduling problem
Abstract
Time-cost problems that arise in repetitive construction projects are commonly encountered in project scheduling. Numerous time-cost trade-off approaches, such as mathematical, metaheuristic, and evolutionary methods, have been extensively studied in the construction community. Currently, the scheduling of a repetitive project is conducted using the traditional precedence diagramming method (PDM), which has two fundamental limitations: (1) progress is assumed to be linear from start to finish; and (2) activities in the schedule are connected each other only at the end points. This paper proposes a scheduling method that allows the use of continuous precedence relationships and piece-wise linear and nonlinear activity-time-production functions that are described by the use of singularity functions. This work further develops an adaptive multiple objective symbiotic organisms search (AMOSOS) algorithm that modifies benefit factors in the basic SOS to balance exploration and exploitation processes. Two case studies of its application are analyzed to validate the scheduling method, as well as to demonstrate the capabilities of AMOSOS in generating solutions that optimally trade-off minimizing project time with minimizing the cost of non-unit repetitive projects. The results thus obtained indicate that the proposed model is feasible and effective relative to the basic SOS algorithm and other state-of-the-art algorithms.
Keyword : scheduling, singularity functions, time-cost trade-offs, repetitive project, multiple objective, optimization
How to Cite
Tran, D.-H., Chou, J.-S., & Luong, D.-L. (2019). Multi-objective symbiotic organisms optimization for making time-cost tradeoffs in repetitive project scheduling problem. Journal of Civil Engineering and Management, 25(4), 322-339. https://doi.org/10.3846/jcem.2019.9681
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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de Leon, P. G. (2008). Graphical planning method. In PMICOS Annual Conference. Chicago, USA.
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Hajdu, M. (2015a). Continuous precedence relations for better modelling overlapping activities. Procedia Engineering, 123, 216-223. https://doi.org/10.1016/j.proeng.2015.10.080
Hajdu, M. (2015b). Point-to-point versus traditional precedence relations for modeling activity overlapping. Procedia Engineering, 123, 208-215. https://doi.org/10.1016/j.proeng.2015.10.079
Hajdu, M., & Isaac, S. (2016). Sixty years of project planning: history and future. Organization, Technology and Management in Construction, 8(1), 1499-1510. https://doi.org/10.1515/otmcj-2016-0013
Hajdu, M., Lucko, G., & Su, Y. (2017). Singularity functions for continuous precedence relations and nonlinear activity-time-production functions. Automation in Construction, 79, 31-38. https://doi.org/10.1016/j.autcon.2017.01.012
Harris, R. B., & Ioannou, P. G. (1998). Scheduling projects with repeating activities. Journal of Construction Engineering and Management, 124(4), 269-278. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:4(269)
Hazır, Ö., Erel, E., & Günalay, Y. (2011). Robust optimization models for the discrete time/cost trade-off problem. International Journal of Production Economics, 130(1), 87-95. https://doi.org/10.1016/j.ijpe.2010.11.018
Hegazy, T. (1999). Optimization of construction time-cost trade-off analysis using genetic algorithms. Canadian Journal of Civil Engineering, 26(6), 685-697. https://doi.org/10.1139/l99-031
Hegazy, T., & Nagib, W. (2001). Cost optimization in projects with repetitive nonserial activities. Journal of Construction Engineering and Management, 127(3), 183-191. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:3(183)
Huang, R.-y., & Sun, K.-S. (2005). System development for non-unit based repetitive project scheduling. Automation in Construction, 14(5), 650-665. https://doi.org/10.1016/j.autcon.2005.02.003
Huang, R.-y., & Sun, K.-S. (2006). Non-unit-based planning and scheduling of repetitive construction projects. Journal of Construction Engineering and Management, 132(6), 585-597. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:6(585)
Huang, Y., Zou, X., & Zhang, L. (2016). Genetic algorithm-based method for the deadline problem in repetitive construction projects considering soft logic. Journal of Management in Engineering, 32(4). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000426
Hyari, K. H., El-Rayes, K., & El-Mashaleh, M. (2009). Automated trade-off between time and cost in planning repetitive construction projects. Construction Management and Economics, 27(8), 749-761. https://doi.org/10.1080/01446190903117793
Ipsilandis, P. G. (2007). Multiobjective linear programming model for scheduling linear repetitive projects. Journal of Construction Engineering and Management, 133(6), 417-424. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:6(417)
Isaac, S., Su, Y., Lucko, G., & Dagan, D. (2017). Work-path modeling and spatial scheduling with singularity functions. Journal of Computing in Civil Engineering, 31(4). https://doi.org/10.1061/(ASCE)CP.1943-5487.0000650
Jeeno, M., Brijesh, P., Dileeplal, J., & Tinjumol, M. (2016). Multi objective optimization for scheduling repetitive projects using GA. Procedia Technology, 25, 1072-1079. https://doi.org/10.1016/j.protcy.2016.08.209
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Khalied, H., & Khaled, E.-R. (2006). Optimal planning and scheduling for repetitive construction projects. Journal of Management in Engineering, 22(1), 11-19. https://doi.org/10.1061/(ASCE)0742-597X(2006)22:1(11)
Kim, S.-G. (2012). CPM schedule summarizing function of the beeline diagramming method. Journal of Asian Architecture and Building Engineering, 11(2), 367-374. https://doi.org/10.3130/jaabe.11.367
Koo, C., Hong, T., & Kim, S. (2015). An integrated multi-objective optimization model for solving the construction time-cost trade-off problem. Journal of Civil Engineering and Management, 21(3), 323-333. https://doi.org/10.3846/13923730.2013.802733
Li, H., & Love, P. (1997). Using improved genetic algorithms to facilitate time-cost optimization. Journal of Construction Engineering and Management, 123(3), 233-237. https://doi.org/10.1061/(ASCE)0733-9364(1997)123:3(233)
Liberatore, M. J., & Pollack-Johnson, B. (2013). Improving project management decision making by modeling quality, time, and cost continuously. IEEE Transactions on Engineering Management, 60(3), 518-528. https://doi.org/10.1109/TEM.2012.2219586
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