Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91267
| Title: | Digitalisation and servitisation of machine tools in the era of Industry 4.0 : a review | Authors: | Liu, C Zheng, P Xu, X |
Issue Date: | 2021 | Source: | International journal of production research, 2021, ahead-of-print, p. 1-33, Published online: 30 Aug 2021, https://doi.org/10.1080/00207543.2021.1969462 | Abstract: | Machine tools play a pivotal role in the manufacturing world since their performance significantly affects the product quality and production efficiency. In the era of Industry 4.0, machine tools are expected to have a higher level of accessibility, connectivity, intelligence, adaptivity, and autonomy. With the rapid development and application of various Industry 4.0 technologies, digitalisation and servitisation of machine tools have become a new research trend. However, few review articles on the development of machine tools in the context of Industry 4.0 have been reported. To understand the current status of digitalisation and servitisation of machine tools, this paper provides a systematic literature review combining both bibliometric and qualitative analysis. Our review results provide a comprehensive and in-depth understanding of recent advancements of digitalisation and servitisation of machine tools, including the key enabling technologies, methods, standards, architectures, and applications. Furthermore, we propose a novel conceptual framework of Cyber-Physical Machine Tool (CPMT) as a systematic approach to achieving digitalisation and servitisation of next-generation machine tools. Finally, major research issues, challenges, and future research directions are discussed. This work will help researchers and industrial practitioners spark new ideas for developing the next-generation machine tools in the era of Industry 4.0. | Keywords: | Machine tools Industry 4.0 Digitalisation Smart manufacturing Servitisation |
Publisher: | Taylor & Francis | Journal: | International journal of production research | ISSN: | 0020-7543 | EISSN: | 1366-588X | DOI: | 10.1080/00207543.2021.1969462 |
| Appears in Collections: | Journal/Magazine Article |
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