Big data analytics: An application on lean manufacturing literature

In this study, the articles published in the field of lean manufacturing were handled by a systematic literature study. Systematic evaluation is the synthesis of the findings contained in the assessed research to determine which studies should be evaluated by using a comprehensive survey of all published studies, using various inclusion and exclusion criteria, and evaluating the research, in order to establish an answer or probing solution to a research question. Systematic evaluations contain more scientific knowledge and are important for producing stronger evidence. The most economical and effective way to conduct research today is to use the internet and available databases. The literature review was conducted through Lean Manufacturing articles published in 1991-2018 from Scopus site. In the study, the title of the article, abstract, key words, author names, year of publication, published journal and country were examined, and then it has been exported to Excel from Scopus. Statistical analysis of the articles has been done in the Scopus Analysis application and data mining has been done in the RapidMiner 5.0 program. Lean production studies published in the literature can be seen as large data. In this context, various analyzes are made within the scope of large data analysis in the literature survey. In the first part of the analysis, statistical analyzes are carried out and then text mining analyzes are made.