Application of SixSigma Methodology to improve Visual Quality Management in a Fish Cannery

Abstract

This study is framed within Sustainable Development Goal 9, which promotes industry, innovation, and sustainable infrastructure. Its main objective was to establish the application of the Six Sigma methodology to improve visual quality management in a fish cannery in Chimbote during 2025. The research was applied in nature, with a pre-experimental pre-and post-test design, where the DMAIC cycle (Define, Measure, Analyze, Improve, Control) was implemented. The sample consisted of production records of canned bonito fillet boxes processed between April and July 2025, selected through non-probabilistic convenience sampling. The initial diagnosis showed a sigma level of 2.24 and a DPMO of 230,888, with 447 errors detected in March; after applying the DMAIC cycle focused on standardization of visual formats, personnel training, and establishment of controls, errors were reduced by 60%, reaching 90 defects in August. The sigma level improved to 5.25 and DPMO decreased to 54,347, while specification compliance increased from 98.56% to 99.30%. The Student's T-test (p = 0.010 < 0.05) confirmed significant differences between pre-and post-test. In conclusion, the application of Six Sigma strengthened visual management, reduced operational variability, and improved packaging area efficiency, demonstrating its effectiveness in cannery companies by promoting a culture of statistical control and continuous quality improvement.