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

2. 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.

3. Data Analysis
Mechanical and electrical contractors’ roles

4. Data Analysis
Project Type

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

6. 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%

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

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