Plan-Do-Check-Action (PDCA) Bibliometric Analysis to Improve Quality

Abstract

The purpose of this study is to examine or map the growth of research publications on the use of PDCA to improve quality and examine PDCA implementation networks. In this VUCA era and global competition, companies are required to be agile in dealing with any changes and problems that occur. PDCA is used as an effective method of solving problems, one of which is repair or quality improvement. This study uses bibliography data in the Google Scholar database with a research period of 2018-2022. This data analysis uses VOSviewer software as a medium for bibliometric analysis. The results of this study indicate that research has increased every year. Developmental mapping based on co-authorship shows a correlation between researchers, while based on co-occurrence indicates a relationship between concepts grouped into 6 clusters. Density visualization describes stretch so there is an opportunity to do research with that topic or keyword. This research is expected to contribute to the use of the PDCA method to make companies more efficient, effective, and sustainable in controlling the production process.