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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.