Document Type : Research Paper
Authors
Abstract
Accurate scheduling of project is one of the main fundamentals and essential success factors of the project management and also accordance of planning and implementation is considered as the main subject of project management. In this paper, it is tried to propose a practical and suitable system in order to schedule various projects more accurately. Currently Program Evaluation and Review Technique (PERT) is used extensively for management of large- scaled projects. In traditional methods of PERT technique, implementation time of each activity is obtained in the form of definite figures or through Beta Distribution but in the real world; it is very hard to estimate the practical implementation time of each activity in an accurate way. By using fuzzy logic in order to overcome the problems related to uncertainty, fuzzy expert system is designed which many limitations and factors affecting the project completion time have been considered in this article. In this regard, output and input parameters of the system have been acquired by questionnaire and validation of the results has been analyzed. The obtained results indicate high power of the system in controlling different situations affecting the project completion time.
Keywords
Roy G., Nava P., Israel S., (2002), Integrating system analysis and project management tools, International Journal of Project Management, 20, 461–468.
Azaron A., Perkgoz C., Sakawa M. ,(2005), A genetic algorithm approach for the time-cost trade-off in PERT networks, Applied Mathematics and Computation, 168, 1317–1339.
Chen S.M., Chang T.H, (2001), Finding multiple possible critical paths using fuzzy PERT, IEEE Transactions on Systems, man and Cybernetics – Part B: Cybernetics, 31, 930–937.
Azaron A., Katagiri H., Sakawa M., Kato K., Memariani A. , (2006), A multi-objective resource allocation problem in PERT networks, European Journal of Operational Research, 172, 838–854.
Stevenson W.J., (2002), Operation Management, seventh ed., McGraw-Hill,
Zadeh L.A., Fuzzy sets, Information and Control, 8, (1965), 338–353.
Dubois D., Fargier H., Fortemps P., (2003), Fuzzy scheduling: modeling flexible constraints vs. coping with incomplete knowledge. European Journal of Operational Research, 147, 31–52.
Chanas S., Kamburowski J. , (1981), The use of fuzzy variables in PERT, Fuzzy Sets and Systems, 5, 11–19.
Mon D.L., Cheng C.H., Lu H.C, (1995)., Application of fuzzy distributions on project management, Fuzzy Sets Systems, 73, 227–234.
Bonnal P., Gourc D., Lacoste G., (2004), Where do we stand with fuzzy project scheduling? Journal of Construct Engineering Management, 130(1), 114–23.
ارائه یک سیستم خبره فازی جهت تعیین زمان ختم پروژه در شبکههای پرت 14
Guiffrida A.L., Nagi R., (1998), Fuzzy set theory applications in production management research: a literature survey. Journal of Intelligent Manufacturing, 9, 39–56.
Saadon. T.A., Al Brahemi R, , (2014), International Journal of Advances in Engineering & Technology, FUZZY PERT FOR PROJECT MANAGEMENT, 7, 4, 1150-1160.
Cebi. F., Otay I,(2015), A fuzzy multi-objective model for solving project network problem with bonus and incremental penalty cost, Computer and industrial engineering, 82, 143-150.
Elizabeth S., Sujathaa L.,(2015), Project Scheduling Method Using Triangular Intuitionistic Fuzzy Numbers and Triangular Fuzzy Numbers, Applied Mathematical Sciences, 9, 185-198
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