Technical Papers
Mar 7, 2011

New Approach to Model Material-Related Problems Contributing to Project Delays Using Rotational Fuzzy Set

Publication: Journal of Performance of Constructed Facilities
Volume 26, Issue 3

Abstract

Construction projects often suffer from material unavailability, which results in failure to meet set schedules. Subjective judgment is commonly used to describe the level of material availability for such projects. Construction experts often state their opinions using linguistic expressions that describe the likelihood of project delay. Fuzzy logic can be used to describe the relationship between material availability and the likelihood of project delay. This paper applies fuzzy modus ponens deduction techniques to model material availability and related project delay by incorporating Baldwin’s rotational fuzzy-set models. This deduction technique consists of three processes: the Truth Functional Modification (TFM), Inverse Truth Functional Modification (ITFM), and Lukasiewicz Implication Rule (LIR). The TFM finds the truth of a fuzzy-set, the ITFM is the inverse of TFM, and the LIR obtains the truth of an implication relation. This study presents a model that can be used to simulate material availability level and its impact on project schedule. Validation of the model showed between good and very good overall appearance and suggests that the model is applicable to the construction industry.

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References

Blockley, D. I. (1980). The nature of structural design and safety, Wiley, New York.
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Go to Journal of Performance of Constructed Facilities
Journal of Performance of Constructed Facilities
Volume 26Issue 3June 2012
Pages: 279 - 286

History

Received: Oct 18, 2009
Accepted: Mar 4, 2011
Published online: Mar 7, 2011
Published in print: Jun 1, 2012

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H. M. Al-Humaidi, M.ASCE [email protected]
Assistant Professor, Dept. of Civil Engineering, Kuwait Univ., P.O. Box 5969, Safat 13060, Kuwait (corresponding author). E-mail: [email protected]
F. Hadipriono Tan, F.ASCE
Professor, Dept. of Civil Engineering, The Ohio State Univ., Columbus, OH 43210.

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