Using Machine Learning and Analytics for Efficient Manufacturing Process

A case study of South American economies

Abstract

Nowadays, we're unquestionably in the era of information. Big Data Analytics is not a point of view for those level of the business. This's of particular interest in the manufacturing activity with the high capital intensity of theirs, time constraints and provided the massive amount of information now captured. Nevertheless, there's a paucity in previous literature on BDA developing much better understanding of the abilities of the strategic ramifications to acquire value from BDA. In that vein, the main goal of this particular paper is usually to create a novel design which summarizes the primary abilities of BDA in the context of production procedure. This's completed by relying on the results of an evaluation of the continuing exploration in addition to a many case study in a prominent phosphates derivatives manufacturer to mention the abilities of BDA in manufacturing process as well as outline recommendations to advance exploration in the industry. The results are going to help businesses to recognize the major data analytics abilities and the potential implications of its for the manufacturing process of theirs and support them seeking to develop better BDA enabler infrastructure.