Implementation of Artificial Intelligence and Machine Learning in Manufacturing

J. Chohan, Raman Kumar, Sandeep Kumar, Bhawna Goyal, Ayush Dogra, Vinay Kukreja
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Abstract

Manufacturing systems nowadays are becoming more complex, dynamic and interconnected. Manufacturing operations confront challenges from highly nonlinear and stochastic activities due to the numerous uncertainties and interdependencies that exist. Recent developments in artificial intelligence (AI), particularly machine learning (ML) have established considerable technological capabilities to transform the manufacturing industry with advanced analytics tools for processing enormous amounts of manufacturing production data. This study summarizes the incisive concept of machine learning and its importance in the manufacturing industry. The research further covers a systematic review of several ML systems that have been enacted in the manufacturing industry and production procedure. In addition, the study also discusses some of the major challenges encountered while implementing machine learning in the manufacturing industry and highlighted some of the significant tasks achieved by machine learning technologies.
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在制造业中实施人工智能和机器学习
如今,制造系统正变得越来越复杂、动态和相互关联。由于存在众多不确定性和相互依存性,制造业务面临着高度非线性和随机活动的挑战。人工智能(AI),尤其是机器学习(ML)的最新发展,为利用先进的分析工具处理海量制造业生产数据提供了可观的技术能力,从而改变了制造业。本研究总结了机器学习的精辟概念及其在制造业中的重要性。研究还系统回顾了在制造业和生产流程中应用的多个 ML 系统。此外,本研究还讨论了在制造业中实施机器学习时遇到的一些主要挑战,并强调了机器学习技术所实现的一些重要任务。
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