The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
The complementary effect of lean manufacturing and digitalisation on operational performance
Open accessAbstract
The most recent trend manufacturers have embraced to seek operational performance improvements is the use of a wide range of digital technologies typically associated with Industry 4.0. However, few studies have investigated the relationship between such technologies and the long-established lean manufacturing domain, and how they, together, influence operational performance. Based on data from a cross-sectional survey of manufacturing companies, this study investigates the relationships between the use of lean manufacturing, factory digitalisation, and operational performance using hierarchical multiple regression analysis. While simultaneously controlling for the effects of production repetitiveness, company size, and length of lean manufacturing implementation, the findings show that both lean manufacturing and factory digitalisation individually contribute to improved operational performance. Furthermore, it is found that when used together, they have a complementary (or synergistic) effect that is greater than their individual effects combined. These research findings provide both theoretical and practical insights into how lean manufacturing and factory digitalisation affect the operational performance of manufacturing firms. In light of the upcoming fourth industrial revolution, these findings suggest that lean manufacturing is not obsolete but rather is more important than ever in order to reap the benefits from emerging technologies and translate them into improved operational performance.
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Cites
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Reliability and Validity Assessment
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“Together with increasing global competition, this puts pressure both on manufacturing companies’ flexibility and on resource efficiency tomeet customer demand and stay competitive (Lasi et al. 2014).”
BackgroundInfluentialLean manufacturing: context, practice bundles, and performance
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Cited by
The evolution and future of lean Six Sigma 4.0
Antony, J., McDermott, O., Powell, D., & Sony, M. (2023) · The TQM Journal · doi:10.1108/tqm-04-2022-0135 · Cited by 124
‘Better together’: Evidence on the joint adoption of circular economy and industry 4.0 technologies
Lopes de Sousa Jabbour, A. B., Chiappetta Jabbour, C. J., Choi, T.-M., & Latan, H. (2022) · International Journal of Production Economics · doi:10.1016/j.ijpe.2022.108581 · Cited by 122
Mapping the Terrain for Lean Six Sigma 4.0
Antony, J., McDermott, O., Powell, D. J., & Sony, M. (2021) · IFIP Advances in Information and Communication Technology · doi:10.1007/978-3-030-92934-3_20 · Cited by 21
Roser, C., Regending, Y., Langer, B., & Wuttke, C.-C. (2021) · IFIP Advances in Information and Communication Technology · doi:10.1007/978-3-030-85874-2_75 · Cited by 1
Metadata
- Authors
- Buer, S.-V., Semini, M., Strandhagen, J. O., & Sgarbossa, F.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2020-08-21
- Volume
- 59
- Issue
- 7
- Pages
- 1976-1992
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W3080517982
- Cited by
- 331
- References
- 12
- FWCI
- 24.29
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Buer, S.-V., Semini, M., Strandhagen, J. O., & Sgarbossa, F. (2021). The complementary effect of lean manufacturing and digitalisation on operational performance. International Journal of Production Research. https://doi.org/10.1080/00207543.2020.1790684
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
