On using six-sigma principle for quality improvement in construction
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The Gaussian distribution and Six-s principle have been widely used in the field of construction quality management with great success. Even though the Gaussian distribution has been solely used as the most dominant distribution, there exist other distributions which can be even more effective than the Gaussian distribution. This paper gives a theoretical study on a new Hyperbolic distribution using the Six-s principle to improve quality in construction management. The Hyperbolic and Gaussian distributions are then numerically compared by estimating their important statistical properties such as population in range, number of defects, yield percentage and defects per million opportunities. The impacts of these factors are briefly discussed to give guidance to organisations in the construction industry on how to lower cost and to improve project quality by prevention. To illustrate the theory behind these distributions and the Six-s principle and to also show their reliability and effectiveness, a case study using cost data from a hydro-seeding industry is presented. From that, in this particular case, the Hyperbolic distribution is shown to be more effective in quality improvement by prevention than the Gaussian distribution. This validates the Hyperbolic distribution as a suitable distribution for construction quality management.
Fourth International Conference on Construction in the 21st Century: Accelerating Innovation in Engineering, Management and Technology
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