Defect Reduction in Forming Process of Fired Clay Floor Tiles by Six Sigma Approach

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Abstract:

The objective of this research was to reduce defects in the forming process of fired clay floor tiles by modifying the parameter settings of the influential factors using the Six Sigma approach. The current process had 152,871.16 DPPM (Defect Parts per Million). The main cause of this problem was the rough surface problem in the forming process. The five steps of the Six Sigma quality improvement approach were exercised in this research, i.e. define, measurement, analysis, improvement, and control phases, respectively. This research started by studying in details of the production process to find relevant factors that could cause a rough surface defect. The main factors were selected and analyzed by Failure Mode and Effect Analysis (FMEA). After that, the settings of each factor were discovered by applying the Design of Experiment (DOE) approach. The results showed that the appropriate settings were the sieve size of pan mill setting to 18 Mesh and the size of sieve holes at pan mill setting to be uniformly distributed. It is found that the defect was reduced to 49,151.14 DPPM, which is 67.85% of the defect before the improvement.

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Solid State Phenomena (Volume 305)

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147-153

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June 2020

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© 2020 Trans Tech Publications Ltd. All Rights Reserved

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[1] Uematsu, Keizo. Processing defects in ceramic powders and powder compacts., Advanced Powder Technology 25, no. 1 (2014): 154-162.

DOI: 10.1016/j.apt.2014.01.009

Google Scholar

[2] Bertels, Thomas, ed. Rath & Strong's six sigma leadership handbook. John Wiley & Sons, (2003).

Google Scholar

[3] Schroeder, Roger G., Kevin Linderman, Charles Liedtke, and Adrian S. Choo. Six Sigma: Definition and underlying theory., Journal of operations Management 26, no. 4 (2008): 536-554.

DOI: 10.1016/j.jom.2007.06.007

Google Scholar

[4] Kaoudom, Nitradee, Tritippayanipa Yimtrakarn, and Ninlawan Choomrit. Using DMAIC Methodology to Reduce Defects in Sport Bar Products., In 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA), pp.852-855. IEEE, (2019).

DOI: 10.1109/iea.2019.8715225

Google Scholar

[5] Kawitu, Kitiya, and Parames Chutima. Electro-deposition painting process improvement of cab truck by Six Sigma concept., In IOP Conference Series: Materials Science and Engineering, vol. 215, no. 1, p.012007. IOP Publishing, (2017).

DOI: 10.1088/1757-899x/215/1/012007

Google Scholar

[6] Carroll, Charles T. Six Sigma for Powerful Improvement: A Green Belt DMAIC Training System with Software Tools and a 25-Lesson Course. Productivity Press, (2013).

DOI: 10.1201/b14806-18

Google Scholar

[7] Montgomery, Douglas C. Design and analysis of experiments. John wiley & sons, (2008).

Google Scholar

[8] Montgomery, Douglas C., and George C. Runger. Applied statistics and probability for engineers. John Wiley & Sons, (2010).

Google Scholar