Construction Project Scheduling with Time, Cost, and Material Restrictions Using Fuzzy Mathematical Models and Critical Path Method
Publication: Journal of Construction Engineering and Management
Volume 135, Issue 10
Abstract
This article evaluates the viability of using fuzzy mathematical models for determining construction schedules and for evaluating the contingencies created by schedule compression and delays due to unforeseen material shortages. Networks were analyzed using three methods: manual critical path method scheduling calculations, Primavera Project Management software (P5), and mathematical models using the Optimization Programming Language software. Fuzzy mathematical models that allow the multiobjective optimization of project schedules considering constraints such as time, cost, and unexpected materials shortages were used to verify commonly used methodologies for finding the minimum completion time for projects. The research also used a heuristic procedure for material allocation and sensitivity analysis to test five cases of material shortage, which increase the cost of construction and delay the completion time of projects. From the results obtained during the research investigation, it was determined that it is not just whether there is a shortage of a material but rather the way materials are allocated to different activities that affect project durations. It is important to give higher priority to activities that have minimum float values, instead of merely allocating materials to activities that are immediately ready to start.
Get full access to this article
View all available purchase options and get full access to this article.
References
Arikan, F., and Gungor, Z. (2001). “An application of fuzzy goal programming to a multiobjective project network problem.” Fuzzy Sets Syst., 119(1), 49–58.
Ayyub, B. M., and Haldar, A. (1984). “Project scheduling using fuzzy set concepts.” J. Constr. Eng. Manage., 110(2), 189–204.
Bellman, R. E., and Zadeh, L. A. (1970). “Decision-making in a fuzzy environment.” Manage. Sci., 17(4), B141–B164.
Chua, D. K. H., and Shen, L. J. (2005). “Key constraints analysis with integrated production scheduler.” J. Constr. Eng. Manage., 131(7), 753–764.
Deporter, E. L., and Ellis, K. P. (1990). “Optimization of project networks with goal programming and fuzzy linear programming.” Comput. Ind. Eng., 19(1–4), 500–504.
Karaca, Z., and Onargan, T. (2007). “The application of critical path method (CPM) in workflow schema of marble processing plants.” Mater. Manuf. Processes, 22(1), 37–44.
Kelleher, A. H. (2004). “An investigation of the expanding role of the critical path method by ENR’s top 400 contractors.” MS thesis, Virginia Polytechnic Institute & State Univ., Blacksburg, Va.
Kim, K., and de la Garza, J. M. (2005). “Evaluation of the resource-constrained critical path method algorithms.” J. Constr. Eng. Manage., 131(5), 522–532.
Liberatore, M. J., Pollack-Johnson, B., and Smith, C. A. (2001). “Project management in construction: software use and research directions.” J. Constr. Eng. Manage., 127(2), 101–107.
Lorterapong, P., and Moselhi, O. (1996). “Project-network analysis using fuzzy sets theory.” J. Constr. Eng. Manage., 122(4), 308–318.
Moder, J. J., Phillips, C. R., and Davis, E. (1983). Project management with CPM, PERT, and precedence diagramming, 3rd Ed., Van Nostrand Reinhold, New York.
Mubarak, S. A. (2005). Construction project scheduling and control, Prentice-Hall, Upper Saddle River, N.J.
Nepal, M. P., Park, M., and Son, B. (2006). “Effects of schedule pressure on construction performance.” J. Constr. Eng. Manage., 132(2), 182–188.
Ordoñez-Oliveros, A. V., and Fayek, A. R. (2005). “Fuzzy logic approach for activity delay analysis and schedule updating.” J. Constr. Eng. Manage., 131(1), 42–51.
Perdomo-Rivera, J. L. (2004). “A framework for a decision support model for supply chain management in the construction industry.” Ph.D. dissertation, Virginia Polytechnic Institute & State Univ., Blacksburg, Va.
Poku, S. E., and Arditi, D. (2006). “Construction scheduling and progress control using geographical information systems.” J. Comput. Civ. Eng., 20(50), 351–360.
Riley, D. (2000). “The role of 4D modeling trade sequencing and production planning.” Proc., VI Construction Congress, ASCE, Reston, Va., 1029–1034.
Suer, A. G., Arikan, F., and Babayigit, C. (2008a). “Bi-objective cell loading problem with nonzero setup times with fuzzy aspiration levels in labor intensive manufacturing cells.” Int. J. Prod. Res., 46(2), 371–404.
Suer, A. G., Arikan, F., Babayigit, C. (2008b). “Effects of different fuzzy operators on fuzzy bi-objective cell loading problem in labor intensive manufacturing cells.” Comput. Ind. Eng., in press.
Wiest, J. D. (1964). “Some properties of schedules for large projects with limited resources.” Oper. Res., 12(3), 395–418.
Yates, J. K. (1993). “Construction decision support system for delay analysis.” J. Constr. Eng. Manage., 119(2), 226–244.
Information & Authors
Information
Published In
Copyright
© 2009 ASCE.
History
Received: Jan 23, 2008
Accepted: Mar 26, 2009
Published online: Sep 15, 2009
Published in print: Oct 2009
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.