Continuous Improvement Methodologies for Quality Control in the Manufacturing Industry: A Systematic Literature Review

Josemaria Navarro-Guerrero K.; Giraldo-Agüero D.; Salvador-Reyes R.; David Neyra-Rivera C. · Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology (2025) · DOI: 10.18687/laccei2025.1.1.870

Resumen

Various continuous improvement methodologies have been identified to optimize quality control in the manufacturing industry, each with advantages and limitations in their application. This study aimed to assess the extent to which these methodologies contribute to quality control by analyzing key tools, the main causes of quality issues, and their effectiveness after implementation. The research was conducted through a systematic literature review based on the PRISMA protocol, reviewing 379 studies from the Scopus database, of which 17 met the inclusion criteria. The results indicate that the implementation of methodologies such as Six Sigma and DMAIC has been effective in defect reduction, achieving Sigma levels of up to 4.375, while the DPMO decreased to values of 1,452. These tools have helped address issues such as lack of standardization and human errors, optimizing processes and improving efficiency in sectors such as textiles, electronics, and metalworking. In conclusion, continuous improvement methodologies are essential for ensuring quality in the manufacturing industry, although challenges related to process standardization and technical staff training must still be overcome.

Instituciones: Universidad Tecnológica del Perú