ITcon Vol. 18, pg. 64-75, http://www.itcon.org/2013/4

Schedule compression using fuzzy set theory and contractors judgment

submitted:2012
published:March 2013
editor(s):Lee G
authors:Osama Moselhi, PhD, P.Eng., Professor
Department of Building, Civil & Environmental Engineering, Concordia University, Montreal, Canada email: Moselhi@encs.concordia.ca

Adel Alshibani, PhD, Postdoctoral Fellow
Department of Building, Civil & Environmental Engineering, Concordia University, Montreal, Canada email: adelshib@encs.concordia.ca
summary:This paper presents a new method developed for schedule compression of non-repetitive construction projects. The method accounts for uncertainties associated with crash cost and it considers contractors’ judgment. It allows contractors to: (1) perform risk analysis for different schedule compression plans; and (2) perform different scenarios expressing vagueness and imprecision of estimated crash cost using a set of measures and indices.The method combines Fuzzy Set Theory and contractors’ judgment in setting priorities for the compression process of project schedules. The developed method is implemented in MS-Excel, and it can be easily used as an add-on utility to other scheduling software systems. To illustrate its capabilities, an example project drawn from the literature was analyzed.
keywords:schedule compression, fuzzy sets, non-repetitive construction, risk, uncertainty
full text: (PDF file, 1.046 MB)
citation:Moselhi O, Alshibani A (2013). Schedule compression using fuzzy set theory and contractors judgment, ITcon Vol. 18, pg. 64-75, http://www.itcon.org/2013/4