Author(s): Sengchu Chow

Abstract: From the analysis of the available Quality Assurance data, one of the machine and/or process of a certain product in a manufacturing facility was found to be incapable because it consistently produces a high level of rejects everyday over months. Hence, an endeavor was undertaken to improve the machine/process in order to lower the reject rate thus improving quality and saving cost. A three-factor two-level full factorial statistical experiment was designed and carried-out in the manufacturing plant using real production units. Two reject types were chosen as responses and the data collected was analyzed using statistical techniques. The main and interaction effects of the variations in the factors was examined to arrive at a set of optimal machine settings. Challenges faced while running experiment under actual production environment and recommendations for further work are also discussed.

Pages: 135-140 | Views: 226 | Downloads: 5

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