AI is revolutionising industry with unprecedented efficiency and innovation. AI's promise has transformed large manufacturing organizations. This chapter covers manufacturing AI applications from optimization to process automation. Image and video recognition, prescriptive modeling, smart automation, advanced simulation, complex analytics, and more employ AI. Machine learning and deep learning apply AI to manufacturing using neural networks and algorithms. AI improves computer vision and image identification for quality control, improving product inspections. AI helps supply chain management estimate demand, optimize stocks, improve logistics, and distribute procedures. Strong cyber security and staff upskilling are needed to protect sensitive production data and smoothly move to AI-driven processes. Manufacturing's widespread AI deployment raises ethical, legal, and social challenges that researchers, industry stakeholders, and policymakers must solve. AI-powered manufacturers have various obstacles in maximizing efficiency, creativity, and long-term success.
TopIntoruduction To The Emergence Of Artificial Intelligence In The Manufacturing Sector
The proliferation of industrial IoT and smart factories in manufacturing has led to a wealth of data, creating numerous opportunities for the use of AI. AI in manufacturing uses machine learning and deep learning neural networks to improve data analysis and decision-making in manufacturing. Intelligent machines or vehicles that are capable of performing tasks one of the applications of artificial intelligence that is frequently discussed in the industrial sector is predictive maintenance. As a result of applying Artificial Intelligence to industrial data, businesses have the opportunity to improve their ability to precisely foresee and proactively minimize the effects of equipment faults. As a consequence of this, the industrial activities experience less costly times of inactivity. Artificial intelligence in production improves demand forecasting and reduces raw material waste. Due to the fact that industrial manufacturing environments generally require close collaboration between humans and robots, the relationship between artificial intelligence and manufacturing is inherently present. The concept of “Industry 4.0,” which refers to the growing automation in production settings as well as the widespread gathering and transfer of data in these settings, is significantly influenced by Artificial Intelligence, which plays a significant part in the concept. In order for businesses to derive value from the large amounts of data that are produced by industrial machines, Artificial Intelligence and Machine Learning are essential technologies that should be utilized. Using artificial intelligence to integrate this data in the optimization of industrial processes can result in a plethora of benefits, including savings in costs, improvements in safety, and upgrades in supply-chain efficiency, amongst many others and independently of one another.
Figure 1.
Examples of artificial intelligence in manufacturing industry
Artificial Intelligence in manufacturing automates complex tasks and uncovers new patterns in manufacturing workflows and processes. The application in manufacturing is a part of a larger push toward the complete automation of production processes. The introduction of “smart factories” has the potential to change the operational processes of businesses. Artificial intelligence technologies have the potential to enhance human capabilities, provide instantaneous insights, and streamline design and product creation, hence increasing overall efficiency. As a result of the transformative qualities that it possesses, artificial intelligence is causing a revolution in the industrial sector. Artificial Intelligence is being utilized by manufacturing companies to enhance the efficiency, precision, and productivity of a variety of procedures. Predictive maintenance, supply chain optimization, quality control, and demand forecasting are just some of the applications that can be brought about by the employment of artificial intelligence in the manufacturing industry.
In this article, we will investigate a number of use cases and present examples that illustrate how artificial intelligence might be applied in the industrial sector. The goal is to give manufacturing organizations with a range of applications of artificial intelligence in manufacturing and to assist them in speeding the growth of their companies. Artificial intelligence is ideal for manufacturing because it can manage massive amounts of data from the Internet of Things (IoT) and smart factories. Manufacturers analyse this data and make better decisions using AI (Shameem, A., Ramachandran, K. K., et al., 2023) including Machine Learning and deep learning neural networks.
In manufacturing, Artificial Intelligence is primarily used in the following ways:
Machine learning:
Programs are able to learn from data patterns without explicit programming.
Deep learning:
A version of machine learning more advanced and comprehends videos and images.
Autonomous objects:
Intelligent robots or vehicles that are capable of performing tasks on their own.