State of the Art of Lean Six Sigma and Its Implementation in Chemical Manufacturing Industry Using a Bibliometric Perspective

2Citations
Citations of this article
90Readers
Mendeley users who have this article in their library.

Abstract

In recent years, the application of Lean models in manufacturing processes has received significant attention due to the successful implementation of relatively simple measures to eliminate or reduce waste. Similarly, Six Sigma has attracted the interest of the industry for reducing production costs through statistical methods and data analysis tools. The combination of both techniques constitutes a powerful management model known as Lean Six Sigma (LSS), whose application has been unevenly spread across the different services and industrial sectors. Despite the multiple studies conducted on the use of LSS methodologies in manufacturing processes, few studies have focused on its direct application in chemical manufacturing are less numerous. Consequently, many chemical companies still face major challenges in implementing the LSS model. This study explores the state of the art, current trends, and perspectives of Lean and Six Sigma integration in the chemical manufacturing sector. For this purpose, a bibliometric analysis was conducted covering topics from the implementation of the LSS on a global scale, i.e., non-manufacturing and manufacturing environments, to its application in the manufacturing of chemical products. The literature search was carried out in the Scopus and Web of Science databases using a different sequence of terms. The findings of this study revealed the most important contributions in terms of publications, authors, countries, and institutions over the past two decades. Additionally, avenues for future research are discussed.

Cite

CITATION STYLE

APA

Alarcón, F. J., Calero, M., Pérez-Huertas, S., & Martín-Lara, M. Á. (2023). State of the Art of Lean Six Sigma and Its Implementation in Chemical Manufacturing Industry Using a Bibliometric Perspective. Applied Sciences (Switzerland), 13(12). https://doi.org/10.3390/app13127022

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free