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The Role of Machine Learning Techniques in SCM—An Analysis

- pp 21-41
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The article was published on 2022-01-01. It has received 0 citations till now. The article focuses on the topics: Supply chain & Computer science.

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Deep learning

TL;DR: Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years, and will have many more successes in the near future because it requires very little engineering by hand and can easily take advantage of increases in the amount of available computation and data.
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A fast learning algorithm for deep belief nets

TL;DR: A fast, greedy algorithm is derived that can learn deep, directed belief networks one layer at a time, provided the top two layers form an undirected associative memory.
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Supply chain management: an analytical framework for critical literature review

TL;DR: In this article, the authors present and use a framework for the categorisation of literature linked to supply chain management, based on the analysis of a large number of publications (books, journal articles, and conference papers) using a Procite database from which the literature has been classi"ed according to two criteria.
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A framework of supply chain management literature

TL;DR: The literature base and development of supply chain management from two separate paths that eventually merged into the modern era of a holistic and strategic approach to operations, materials and logistics management is reviewed in this article.
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The impact of supply chain management practices on performance of SMEs

TL;DR: The results indicate that both factors of SCLP and OMS have direct positive and significative effects on supply chain management practices in Turkey.