Purpose: The purpose of this paper is to develop a bibliometric study about Lean Six Sigma (LSS) in the manufacturing process and to conduct an analysis of sources of publication, authorship, citations and other bibliometric indicators. This paper also identifies the research agenda for future research related to the LSS approach in manufacturing processes. Design/methodology/approach: A total of 508 articles published during the period 2002 to 2017 were collected through an automated process from the Scopus and Web of Science databases and later analyzed using techniques such as data mining, bibliometric indicators analysis, cluster analysis, network analysis and word cloud. The boundaries of the study cover studies directed to the manufacturing processes. Findings: The research identified 1,110 authors from 54 countries and 15 most prolific journals among the 162 journals investigated. The study unveils relevant articles, authors and journals that have discussed LSS initiatives in the manufacturing process. Practical implications: The study findings can make practitioners aware of the state of the art and the specificities of the most prolific studies. Furthermore, this paper also intends to clarify the project themes and tools most used in these works. Originality/value: The geographical locations of influential articles and authors are revealed. Additionally, frequently used words are listed and helped to develop a research agenda that highlights relevant themes, methods and industries.

Lean Six Sigma in manufacturing process: a bibliometric study and research agenda / Sordan, J. E.; Oprime, P. C.; Pimenta, M. L.; Chiabert, P.; Lombardi, F.. - In: THE TQM JOURNAL. - ISSN 1754-2731. - 32:3(2020), pp. 381-399. [10.1108/TQM-08-2019-0207]

Lean Six Sigma in manufacturing process: a bibliometric study and research agenda

Sordan J. E.;Chiabert P.;Lombardi F.
2020

Abstract

Purpose: The purpose of this paper is to develop a bibliometric study about Lean Six Sigma (LSS) in the manufacturing process and to conduct an analysis of sources of publication, authorship, citations and other bibliometric indicators. This paper also identifies the research agenda for future research related to the LSS approach in manufacturing processes. Design/methodology/approach: A total of 508 articles published during the period 2002 to 2017 were collected through an automated process from the Scopus and Web of Science databases and later analyzed using techniques such as data mining, bibliometric indicators analysis, cluster analysis, network analysis and word cloud. The boundaries of the study cover studies directed to the manufacturing processes. Findings: The research identified 1,110 authors from 54 countries and 15 most prolific journals among the 162 journals investigated. The study unveils relevant articles, authors and journals that have discussed LSS initiatives in the manufacturing process. Practical implications: The study findings can make practitioners aware of the state of the art and the specificities of the most prolific studies. Furthermore, this paper also intends to clarify the project themes and tools most used in these works. Originality/value: The geographical locations of influential articles and authors are revealed. Additionally, frequently used words are listed and helped to develop a research agenda that highlights relevant themes, methods and industries.
File in questo prodotto:
File Dimensione Formato  
10-1108_TQM-08-2019-0207.pdf

non disponibili

Descrizione: Articolo prinicipale come disponibile dal sito web della rivista
Tipologia: 2a Post-print versione editoriale / Version of Record
Licenza: Non Pubblico - Accesso privato/ristretto
Dimensione 3.07 MB
Formato Adobe PDF
3.07 MB Adobe PDF   Visualizza/Apri   Richiedi una copia
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11583/2880728