Optimizing Processes in Digital Supply Chain Management Through Artificial Intelligence: A Systematic Literature Review
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50300-9_23
Reference6 articles.
1. Junge, A. L., & Straube, F. (2020). Sustainable supply chains – Digital transformation technologies’ impact on the social and environmental dimension. Procedia Manufacturing., 43, 736–742. https://doi.org/10.1016/j.promfg.2020.02.110
2. Cardona, A., Carusi, C., & Bell, M. M. (2021). Engaged intermediaries to bridge the gap between scientists, educational practitioners and farmers to develop sustainable agri-food innovation systems: A US case study. Sustainability, 13, 11886. https://doi.org/10.3390/su132111886
3. Piancastelli, C., & Tucci, M. (2020). The role of digital twins in the fulfilment logistics chain. IFAC-PapersOnLine., 53, 10574–10578. https://doi.org/10.1016/j.ifacol.2020.12.2807
4. Lam, W. S., Lam, W. H., & Lee, P. F. (2023). A Bibliometric analysis of digital twin in the supply chain. Mathematics, 11, 3350. https://doi.org/10.3390/math11153350
5. Bowersox, D., Closs, D., & Drayer, R. (2005). The digital transformation: Technology and beyond. Supply Chain Management Review, 9.
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