Applications of Machine Learning in Supply Chain Management—A Review

Author:

Thejasree P.,Manikandan N.,Vimal K E K,Sivakumar K.,Krishnamachary P. C.

Publisher

Springer Nature Singapore

Reference26 articles.

1. Ni D, Xiao Z, Lim MK (2020) A systematic review of the research trends of machine learning in supply chain management. Int J Mach Learn Cybern 11:1463–1482

2. Bousqaoui H, Achchab S, Tikito K (2017, October) Machine learning applications in supply chains: an emphasis on neural network applications. In: 2017 3rd international conference of cloud computing technologies and applications (CloudTech). IEEE, pp 1–7

3. Seif G (2018) The 5 clustering algorithms data scientists need to know. Towards Data Science

4. Du CJ, Sun DW (2006) Learning techniques used in computer vision for food quality evaluation: a review. J Food Eng 72(1):39–55

5. Wenzel H, Smit D, Sardesai S (2019) A literature review on machine learning in supply chain management. In: Artificial intelligence and digital transformation in supply chain management: innovative approaches for supply chains. Proceedings of the Hamburg international conference of logistics (HICL), vol 27. Epubli GmbH, Berlin, pp 413–441

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