Issuu

International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 11 Issue: 05 | May 2024

p-ISSN: 2395-0072

www.irjet.net

Applications and Impact of Artificial intelligence in manufacturing: A review Mr. M.D. Kulkarni Lecturer in Automobile Engineering ,Vidya pratishthan’s Polytechnic College, Indapur ---------------------------------------------------------------------***--------------------------------------------------------------------important in manufacturing due to use of machine learning Abstract – and computer vision.

In recent days, Artificial Intelligence (AI) is going to play a major role in various fields and becoming major source in improving manufacturing efficiency and productivity . This review paper, is all about review of applications of AI in manufacturing and its influence. This review provides an overall viewpoint on applications of AI in manufacturing field and also challenges and issues such as human resource, security ,infrastructure, implementation challenges etc. Regardless of these challenges AI is helpful in applications of process optimization , quality assurance, predictive maintenance, intelligent robotic system, automation, smart manufacturing systems, supply chain management ,monitoring system etc . AI in manufacturing transform the way product are designed, developed and manufactured. So it is necessary to consider needs and capabilities of manufacturing while using AI. Future research can be expected towards developing wide combined AI applications.

1. Review of literature Siby Jose Plathottam, Arin Rzonca, Rishi Lakhnori, Chukwunwike O. Iloeje “A review of artificial intelligence applications in manufacturing operations” cover manufacturing applications of AI, potential benefits, challenges.The review also identifies future directions of AI/ML available for solving problems related to manufacturing and opportunities ,current development ,and also it identifies areas where further research leads to transformational returns for the industry. In this literature review focused on academic literature and used other sources for specific use case illustration. Kim, S.W., Kong, J.H., Lee, S.W. et al. Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review .This focuses on application of AI for product enhancement like autonomous vehicles ,battery ,robotics ,wind turbine. This paper also focus on applications of AI in process enhancement. This paper thus summarize achievements of AI in manufacturing industries making it productive

Key Words:

Process optimization ,quality assurance, predictive maintenance, intelligent robotic system, automation, smart manufacturing systems, supply chain management

1.INTRODUCTION

Mito Kehayova , Lukas Holdera , Volker Kocha in their paper “application of AI technology in the manufacturing processes and supply management” give us idea about recent developments in AI extensive amount of generated “big data” related to manufacturing allow integration of new analytical tool in the supply chain optimize the way the goods are produced. This paper give information about applications of AI system in manufacturing, supply chain process in industries makes them smart factories and smart manufacturing and the reform and digitalization on the production.

Artificial intelligence (AI) is automated and intelligent system capable of performing various task without human interruption .Use of Artificial intelligence (AI) in the manufacturing sector, create new opportunities for automation, optimization, and innovation. AI technology plays an important role in improving productivity, efficiency and decision making processes.AI driven predictive maintenance optimize maintenance schedule as well as minimize downtime by predicting possible faults and analyzing equipment data. Use of AI in supply chain management system makes more efficient through machine learning algorithms which estimate demand ,control inventory and simplify logistic.AI machines, such as robots, which enables automation in assembly lines improves accuracy and speed in accordance with changing production demands. These robots improves efficiency, productivity, reduce cost and improve efficiency. AI powered QC system finds defects more accurately.AI system is also used in smart manufacturing monitoring the process in real time and make necessary adjustment improving efficiency and reducing waste. In recent years, AI has become increasingly

Impact Factor value: 8.226

Satabda Chaudhuri, Krishnan LRK, Poorani S in their “Impact of using AI in manufacturing industries conducts statistical analysis and influence of AI in field of manufacturing. Using quantitative methods, survey of questionnaires with well structured questions distributed to persons from manufacturing sector, HR, IT ,financial ,education and many more. The data so collected used for statistical anylysis. A random sample drawn was then tested on the SPSS(Statistical Package for the Social Sciences) platform for quantitative analysis.

ISO 9001:2008 Certified Journal

Page 59