Abstract
The define-measure-analyze-improve-control (DMAIC) cycle is used by the author in the context of this project to conduct research on optimizing production procedures at a business that manufactures optical components, mainly focusing on visual defects. The DMAIC cycle and techniques for quality control like Pareto charts, and experimental design and MCDM are used in this project's research to lower the error rate in the production process. Multiple criteria decision-making (MCDM) is utilized during the analysis phase of the DMAIC process to aggregate the insights of specialists and attain a more comprehensive understanding of the factors that substantially impact and contribute to microlens manufacturing defects. This enhances the Six Sigma process's agility and dependability. Microlens product is specifically the research object. After applying the DMAIC cycle, the two primary defects identified were contamination and not polishing S1. Implementing the suggested steam ratio and packaging modifications led to a noticeable enhancement. The reasonable daily product rate increased from 69 % to 79 %, saving $1932,367 annually.
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