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Ranking of supplier performance using machine learning algorithm of random forest
, A.N.S. Prasad, A. Shankharan, S. Kapoor,
Published in IAEME Publication
Volume: 11
Issue: 5
Pages: 298 - 308
In this current data-driven world, corporate and industries need decisions driven by data for staying ahead of the competition and to satisfy the customers. To calculate the results using algorithms that could learn from the fluctuations and abnormalities has been sought after by tech companies as we are now started moving towards industry 4.0. At this time of advent, Machine Learning and Data Science are going to play a major role in shaping the industry and help in its operations. Furthermore, if we look into the industries, many tech and manufacturing conglomerates need suppliers to furnish them with services, materials, and semi-finished products for their operations. Finding the best supplier has been an age-old problem and several solutions have been introduced over the period. In this paper, we will look at how this age-old problem could be solved using modern techniques. © IAEME Publication Scopus Indexed.
About the journal
JournalInternational Journal of Advanced Research in Engineering and Technology
PublisherIAEME Publication