The Lean Tools and Elements most used in Literature - Application of PROKNOW-C for Selection and Analysis of a Bibliographic Portfolio
Abstract
Abstract: The purpose of this article is to identify Lean tools, techniques and practices used in the implementations of manufacturing organizations globally and to select the most used ones. To better illustrate the study, the methodology of bibliometric review was used, through the Knowledge Development Process-Constructivist (Proknow-C), encompassing three steps: selection of the portfolio of articles; bibliometric analysis and systemic analysis. The studied portfolio revealed that there are many Lean tools, practices and/or techniques used that are repeated in successful implementations. In total, 29 journals were reviewed and it was concluded that the elements: Total Quality Management, Training, 5S, Just-in-Time, Value Stream Mapping, Standardization, Types of waste, Ergonomics, Leadership and Team Development, Multifunctional teams stand out with the number of citations within the portfolio, having 50% representation in the portfolio, so future studies related to determining which Lean tools and techniques to apply in organizations will benefit from this research
Keywords: Lean Manufaturing; Lean Implementation; Sytem; Model; Tool; Practices
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The Journal reserves the right to make normative, spelling and grammatical changes in the published article, aiming at maintaining the proper standard of the language, while respecting the personal style of the authors.
Author (s) are fully responsible for the published article. Journal of Lean Systems is not responsible for any violations of Copyright.
Journal of Lean Systems allows the author to retain the copyright of articles accepted for publication without restriction.
Plagiarism constitutes unethical behavior and is inconceivable. This journal reserves the right to use any methods of detecting plagiarism to analyze the submitted works.
This journal is licensed under a Creative Commons License.