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Fuzzy Scheduling of Repetitive Construction Projects
Ibrahim Bakry, Dr. Osama Moselhi and Dr. Tarek Zayed
Concordia University, Department of Building, Civil and Environmental Engineering
Abstract
Uncertainty is an inherent characteristic of construction projects. Neglecting uncertainties
associated with different input parameters in the planning stage could well lead to misleading
and/or unachievable project schedules. This paper presents a novel algorithm for scheduling
repetitive construction projects while accounting for uncertainty. The presented algorithm
quantifies anticipated delays, and presents them in the form of fuzzy time buffers. The generated
time buffers are used to model uncertainty and anticipated delays in project schedules. The
presented algorithm comprises two integrated components, a scheduling component based on
Linear Scheduling Method (LSM) using deterministic activity durations, and a buffer component
that handles fuzzy buffers sizing and insertion. The presented algorithm offers four different
buffer insertion techniques covering different cases of interrelations between successive
activities. This paper focuses on highway construction projects as an example of repetitive
construction projects. It accounts for sources of uncertainty such as weather, site conditions,
change orders and equipment related delays. A hypothetical case study is presented to
demonstrate how the proposed algorithm works and to illustrate its essential features.