Open Access
| Issue |
MATEC Web Conf.
Volume 355, 2022
2021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|
|
|---|---|---|
| Article Number | 02042 | |
| Number of page(s) | 6 | |
| Section | Mathematical Science and Application | |
| DOI | https://doi.org/10.1051/matecconf/202235502042 | |
| Published online | 12 January 2022 | |
- Cadden, T., Dennehy, D., Mantymaki, M., & Treacy, R. (2021). Understanding the influential and mediating role of cultural enablers of AI integration to supply chain. International Journal of Production Research, 1–29. https://doi.org/10.1080/00207543.2021.1946614 [CrossRef] [Google Scholar]
- Rossit, D. A., Tohmé, F., & Frutos, M. (2019). A data-driven scheduling approach to smart manufacturing. Journal of Industrial Information Integration, 15, 69–79. [CrossRef] [Google Scholar]
- United Nations. (n.d.). United Nations Sustainable Development – 17 Goals to Transform Our World. 2021. Retrieved May 21, 2021, from https://www.un.org/sustainabledevelopment/ [Google Scholar]
- Lin, D., Lee, C. K. M., Lau, H., & Yang, Y. (2018). Strategic response to Industry 4.0: an empirical investigation on the Chinese automotive industry. Industrial Management & Data Systems. [Google Scholar]
- Kamble, S., Gunasekaran, A., & Dhone, N. C. (2020). Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies. International Journal of Production Research, 58(5), 1319–1337. [CrossRef] [Google Scholar]
- Tigga, G. A., Kannabiran, G., & Arumugam, V. (2021). Exploring relationships among IT advancement, IT assimilation, supply chain capabilities and supply chain performance. Journal of Decision Systems, 1–25. https://doi.org/10.1080/12460125.2021.1873022 [Google Scholar]
- Moeuf, A., Lamouri, S., Pellerin, R., Tamayo-Giraldo, S., Tobon-Valencia, E., & Eburdy, R. (2020). Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs. International Journal of Production Research, 58(5), 1384–1400. [CrossRef] [Google Scholar]
- Gawankar, S. A., Gunasekaran, A., & Kamble, S. (2020). A study on investments in the big data-driven supply chain, performance measures and organisational performance in Indian retail 4.0 context. International Journal of Production Research, 58(5), 1574–1593. https://doi.org/10.1080/00207543.2019.1668070 [CrossRef] [Google Scholar]
- Ghobakhloo, M., & Fathi, M. (2020). Corporate survival in Industry 4.0 era: the enabling role of lean-digitized manufacturing. Journal of Manufacturing Technology Management, 31(1), 1–30. https://doi.org/10.1108/JMTM-11-2018-0417 [Google Scholar]
- Umar, M., Khan, S. A. R., Yusoff Yusliza, M., Ali, S., & Yu, Z. (2021). Industry 4.0 and green supply chain practices: an empirical study. International Journal of Productivity and Performance Management, ahead-of-p(ahead-of-print). https://doi.org/10.1108/IJPPM-12-2020-0633 [Google Scholar]
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