AI SearchCUSUM and EWMA control charts for process control to approach Six-Sigma quality : a case study of continuous and discrete processes
Call Number: AIT Thesis no.ISE-99-28 Material type:
SeriesSeries: Asian Institute of Technology. Thesis ; no. ISE-99-28Publication details: Bangkok : Asian Institute of Technology, 1999Description: 184 p.: illSubject(s): Online resources: Dissertation note: Thesis (M.Eng.) - Asian Institute of Technology Summary: Six-Sigma concept is a relatively new way to measure how "good" a product is. When a product is Six-Sigma compliant it tell us that product quality is excellent. The Six-Sigma quality concept recognizes that a small amount of variation will be present as a result of slight fluctuations in environmental conditions. Thus, we have to know as soon as possible when small shifts occur. Two types of control charts, CUSUM and EWMA, are recommended for this situation. Furthermore, X and R charts are also the good candidates. Which one is most suitable for continuous and discrete type of processes? To answer this question, data are collected from continuous and discrete processes. Data are analyzed by checking the sufficiency of sample, the normal assumption, and randomness. Then three types of control charts are applied and compared the performance. Based on the results, there is no strongly conclusion to indicate the most suitable for continuous and discrete processes. However, when small shifts are of interesting, the abilities of CUSUM and EWMA control charts are better than the ability of X and R charts. On the contrary, X and R charts are the most effective charts when large shifts are of interesting.
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Thesis (M.Eng.) - Asian Institute of Technology
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Advanced Technologies
Six-Sigma concept is a relatively new way to measure how "good" a product is. When a product is Six-Sigma compliant it tell us that product quality is excellent. The Six-Sigma quality concept recognizes that a small amount of variation will be present as a result of slight fluctuations in environmental conditions. Thus, we have to know as soon as possible when small shifts occur. Two types of control charts, CUSUM and EWMA, are recommended for this situation. Furthermore, X and R charts are also the good candidates. Which one is most suitable for continuous and discrete type of processes? To answer this question, data are collected from continuous and discrete processes. Data are analyzed by checking the sufficiency of sample, the normal assumption, and randomness. Then three types of control charts are applied and compared the performance. Based on the results, there is no strongly conclusion to indicate the most suitable for continuous and discrete processes. However, when small shifts are of interesting, the abilities of CUSUM and EWMA control charts are better than the ability of X and R charts. On the contrary, X and R charts are the most effective charts when large shifts are of interesting.
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