Lean and Industry 4.0: A bibliometric analysis, opportunities for future research directions. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Alsadi, Juman; Antony, Jiju; Mezher, Toufic; Jayaraman, Raja; Maalouf, Maher
• Is Part Of: Quality management journal. Volume 30:Issue 1(2023)
• Page Start: 41
• Page End: 63
• Publication Date: 2023-01-02
• Subjects: digitalization -- digital transformation -- Industry 4.0 -- Lean -- Lean principles -- Lean 4.0; Total quality management -- Periodicals; Personnel management -- Periodicals; Personnel management; Total quality management; Electronic journals; Periodicals; 658.56205 Q1 M2 J
• DOI: 10.1080/10686967.2022.2144785
• Languages: English
• ISSNs: 1068-6967

Abstract

Abstract: Lean is a philosophy that helps organizations develop a continuous improvement culture by eliminating waste and minimizing the use of resources. On the other hand, Industry 4.0 is a complex high-tech model that contributes to flexible organizations using different technologies such as IoT, cloud computing, blockchain, virtual reality, and Artificial Intelligence. The concept of integrating Lean Principles and Industry 4.0 is still very recent and limited, and the literature lacks a bibliometric perspective. The integration is challenging in terms of contentment-wise and is a broad multi-dimensional research area. This study aims to analyze Lean Industry 4.0 or Lean 4.0 and Lean digital transformation literature using bibliometrics, identifying its state of art, benefits, challenges, and scientific gaps. In this study, articles published between 2010 and 2022 from the Scopus database are analyzed to identify significant publications, journals, authors, institutions, and countries based on the number of publications and frequently used keywords and subject areas. This study contributes to developing the state of art of Lean Industry 4.0 and Lean digital transformation and helps researchers and practitioners direct their future studies. The literature performance is measured based on both the number of publications and the number of citations; this bibliometric analysis covers most of the published papers in both research domains.