The Smart Resilience Adviser, an Anticipation Tool Powered by Artificial Intelligence
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-57996-7_67
Reference8 articles.
1. Arias-Vargas, M., Sanchis, R., Poler, R.: Impact of predicting disruptive events in supply planning for enterprise resilience. IFAC-PapersOnLine 55(10), 1864–1869 (2022). https://doi.org/10.1016/j.ifacol.2022.09.670
2. Belhadi, A., Kamble, S., Wamba, S.F., Queiroz, M.M.: Building supply-chain resilience: an artificial intelligence-based technique and decision-making framework. Int. J. Prod. Res. 60(14), 4487–4507 (2021). https://doi.org/10.1080/00207543.2021.1950935
3. Naz, F., Kumar, A., Majumdar, A., Agrawal, R.: Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research. Oper. Manag. Res. 15, 378–398 (2021). https://doi.org/10.1007/s12063-021-00208-w
4. OpenAI. (n.d.). Introducing ChatGPT. https://openai.com/blog/chatgpt/
5. Sanchis, R., Canetta, L., Poler, R.: A conceptual reference framework for enterprise resilience enhancement. Sustainability 12(4), 1464 (2020). https://doi.org/10.3390/su12041464
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