Review of Machine Learning Techniques in the Supply Chain Management of Indian Industry

Abstract

The technologies have increased the role of IT in evolving the path for the future. A sense of belonging and significance to the market is felt by current industries. Procurement, assembly, and supply were affected by the digital revolt that has swept the world. Now machine learning is a hot area among scholars and industry professionals. Two decades ago, there were few publications of machine learning and supply chain management. SCM-related ML application research hasn't been thoroughly examined in the literature till date with respect to the Indian steel industry. As a result, this study examined articles from Jan. 2010 to Dec. 2020 in five major databases to present the latest research trends. A quantitative analysis of 112 shortlisted articles revealed that there were not enough publications to form a strong group force in this field. This study's comprehensive look at ML techniques used in SCM will help future research. A true reflection of today's industries, the chapter accurately reflects prospects to express feelings, thoughts, and contribute to future industries.

Potable Water Identification with Machine Learning: An Exploration of Water Quality Parameters

“…These benefits are resulting in cost savings and increased competitiveness for manufacturing companies. [16][17][18][19][20] In healthcare, machine learning is used to improve patient outcomes and reduce costs. For example, machine learning algorithms can be used to envisage patient outcomes, identify patients at high risk of complications, and optimize treatment plans.…”