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Six Sigma-Based Approach to Improve Performance in Construction Operations(1)

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Six Sigma-Based Approach to Improve Performance in Construction Operations(1)
Six Sigma-Based Approach to Improve Performance in Construction Operations
Seung Heon Han, M.ASCE1; Myung Jin Chae, Ph.D., P.E.2; Keon Soon Im, P.E.3; and Ho Dong Ryu4
Abstract: Many researchers and project managers have attempted to improve project performance by applying new philosophies such as lean principle, just-in-time, pull scheduling, and last planner. However, very little research has been conducted on setting definite quantitative goals for performance improvement while considering the defect rate involved in the construction operations. This research explores practical solutions for construction performance improvement by applying the six sigma principle. This principle provides the metrics required to establish performance improvement goals and a methodology for measuring and evaluating improvement. The proposed approach is expected to achieve more reliable workflows by reducing process variability to fit in a desirable range—thereby improving the overall performance through the evaluation of the quality level in current construction operations. To verify the suggested methodology, two case studies have been presented and process simulation analyses are performed to observe the performance changes based on the six sigma principle. Critical total quality control, as the sigma level rises, is also discussed.
DOI: 10.1061/ ASCE 0742-597X 2008 24:1 21
CE Database subject headings: Quality control; Simulation; Productivity; Construction management.

Introduction
In the pursuit of productivity improvement, it is important to ensure the quality of work processes to enhance the overall reliability and stability of construction operations. There have been a number of construction productivity improvement principles such as lean production, just-in-time JIT , rapid machinery changeovers, pull scheduling, last planner, etc. Thomas et al.
2003 . Despite the successful applications, however, most of the results fell short of our expectations of a



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