Solving Time-Cost Tradeoff Problem with Resource Constraint Using Fuzzy Mathematical Model
Main Article Content
Abstract
Scheduling considered being one of the most fundamental and essential bases of the project management. Several methods are used for project scheduling such as CPM, PERT and GERT. Since too many uncertainties are involved in methods for estimating the duration and cost of activities, these methods lack the capability of modeling practical projects. Although schedules can be developed for construction projects at early stage, there is always a possibility for unexpected material or technical shortages during construction stage. The objective of this research is to build a fuzzy mathematical model including time cost tradeoff and resource constraints analysis to be applied concurrently. The proposed model has been formulated using fuzzy theory combining CPM computations, time-cost trade off analysis and resource constraint. MATLAB software has been adopted to perform ranking process, for each case, that
facilitates obtaining the optimum solution. This research infers that it is possible to perform time-cost trade off analysis with resource restriction simultaneously, which ensures achieving scheduling optimum solution reducing the effort and the time when performing these techniques in succession using traditional methods.
Article Details
How to Cite
Publication Dates
References
➢ Asmuni, H. , 2008. Fuzzy Methodologies for Automated University Timetabling Solution Construction and Evaluation, Thesis submitted to the University of Nottingham for the degree of Doctor of Philosophy, p 59.
➢ Haji, R. and Soltani, A. , 2007. A Project Scheduling Method Based on Fuzzy Theory, Journal of Industrial and Systems Engineering, Vol. 1, No. 1, pp 70-80.
➢ Liang, Tien-Fu, Huang, Tien-Shou and Yang, Ming-Feng, , 2011. Application of fuzzy mathematical programming to imprecise project management decisions. DOI 10.1007/s11135-011-9460-y, Springer Science& Business Media B.V. 2011.
➢ LIANG, T. F., 2006. Project management decisions using fuzzy linear programming. International Journal of Systems Science Vol. 37, No. 15, 1141–1152.
➢ Lin, Feng-Tse , 2008. Time-Cost Trade-off Problem Based on Confidence-Interval Estimates and Level (1 − α) Fuzzy Numbers. International Journal of Innovative Computing, Information and Control, Volume 4, Number 10, pp. 2551—2564.
➢ Lorterapong, P. and Moselhi, O. , 1996. Project-Network Analysis using Fuzzy Sets Theory. Journal of Construction Engineering and Management, Vol. 122, No.4, December, ASCE.
➢ Ross, T. J., 2004. Fuzzy logic with Engineering Application. John Wiley & Sons Ltd, 2nd Edition, p 96.
➢ Shankar N. R., Sireesha V. and Rao P. P. B. , 2010. Critical Path Analysis in the Fuzzy Project Network. Advances in Fuzzy Mathematics, Volume 5, number 3, pp. 285–294.
➢ Sivanandam, S.N, Deepa, S. N, and Sumathi, S, 2007. Introduction to Fuzzy Logic using MATLAB ‖ Springer -Verlag Berlin Heidelberg.
➢ Soltani, A. and Haji, R. , 2007. A Project Scheduling Method Based on Fuzzy Theory, Journal of Industrial and Systems Engineering, Vol. 1, No. 1, pp 70-80.
➢ Zhang, H., Tam, C.M. and Li H., 2005.Modeling uncertain activity duration by fuzzy number and discrete-event simulation. European Journal of Operational Research 164 , 715–729, Elsevier.
➢ Hendrickson, Chris and Au, Tung, 2003. Project Management for Construction. Version 2.1 prepared summer, 2003. Chris Hendrickson, Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA l52l3 Copyright C. Hendrickson
➢ Mohammed Rashed, Sawsan , 2004.Solving Critical path Problems with linear Programming. Journal of Engineering, Vol. 10, No. 4