Design Optimization to Reduce Variation in Manufacturing Process

Abstract:

The variation on the product functional parameter has been shown to cause potential failures. These potential failures may not be caught in production line, but become the reason of customer complaints. To enable the development of robust method to detect variation, this work explores the possible sign from the data of sector reports and transforms the questioned data to the variation by Six Sigma Methodology. The key techniques of DMAIC, MVA, SPC and RSMDOE are utilized. The method is designed with three phases: firstly it is to analyze the data from the sector report to detect the peculiar value. Then the performance is evaluated to identify the variation. In the last step the issue related to the variation is solved by design optimization. The method is evaluated in the manufacturing site with the material consumption data, and the excessive 20% consumption caused by the variation is saved, which demonstrates this variation detection method is in feasible and efficient manner for quality management.

• Periodical: Applied Mechanics and Materials (Volume 709)
• Pages: 534-538
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.709.534
• Online since: December 2014
• Authors: Hong Chen*
• Keywords: DMAIC, Multi-Vari Analysis, Quality Management, Response Surface Methods DOE, Six Sigma Methodology, Variation

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