Development of a FLC Model for Predicting Schedule Impacted by Change Orders in Construction Projects Jieh-Haur Chen Dec. 14 2001

Introduction Problem Statement Methodology Change orders cause schedule problems raising disputes in construction projects. Methodology Find the correlation in historical data. This correlation will be used in establishing a mathematical model, fuzzification, and fuzzy control rules. Use fuzzy approach to predict and measure construction schedules being impacted by change orders.

Data Analysis Mechanical and electrical contractors’ roles

Data Analysis Project Type

Data Analysis Percent of Change Public vs. Private Distribution of the Percent Change

Data Analysis Reasons of Change Orders 37.1% 1.4% 1.1% 1% 21.5% 3.7% Additions Change Code Change Tech. Deletions Design Changes Design Coord. Design Error Mat. Handling Material Avail. 37.1% 1.4% 1.1% 1% 21.5% 3.7% 7% 2.9% Over inspection Rework Schedule comp. Site Layout Unknown Cond. Value Eng. Weather Others 2.4% 3.1% 0.5% 25 1.9%

FLC Model 5 state variables Role, Project type, % Change, Feature, And Reasons

Discussion and Future Work Predicted Schedule = Yet to process the FLC model successfully. Fuzzification Fuzzy rules