Integration of Industry 4.0 technologies into Lean Six Sigma DMAIC: a systematic review
Journal article
Authors | Pongboonchai-Empl, T., Antony, J., Garza-Reyes, J.A., Komkowski, T. and Tortorella, G.L. |
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Abstract | This review examines which Industry 4.0 (I4.0) technologies are suitable for improving Lean Six Sigma (LSS) tasks and the benefits of integrating these technologies into improvement projects. Also, it explores existing integration frameworks and discusses their relevance. A quantitative analysis of 692 papers and an in-depth analysis of 41 papers revealed that “Analyse” is by far the best-supported DMAICs phase through techniques such as Data Mining, Machine Learning, Big Data Analytics, Internet of Things, and Process Mining. This paper also proposes a DMAIC 4.0 framework based on multiple technologies. The mapping of I4.0 related techniques to DMAIC phases and tools is a novelty compared to previous studies regarding the diversity of digital technologies applied. LSS practitioners facing the challenges of increasing complexity and data volumes can benefit from understanding how I4.0 technology can support their DMAIC projects and which of the suggested approaches they can adopt for their context. |
Keywords | Lean Six Sigma; Industry 4.0; DMAIC 4.0; Big Data Analytics; Data Science |
Year | 2023 |
Journal | Production Planning and Control: The Management of Operations |
Journal citation | pp. 1-26 |
Publisher | Taylor & Francis |
ISSN | 1366-5871 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/09537287.2023.2188496 |
Web address (URL) | https://www.tandfonline.com/doi/full/10.1080/09537287.2023.2188496 |
Accepted author manuscript | File Access Level Open |
Output status | Published |
Publication dates | |
Online | 20 Mar 2023 |
Publication process dates | |
Accepted | 27 Feb 2023 |
Deposited | 27 Mar 2023 |
https://repository.derby.ac.uk/item/9x5x0/integration-of-industry-4-0-technologies-into-lean-six-sigma-dmaic-a-systematic-review
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