International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 02 | Feb 2024
p-ISSN: 2395-0072
www.irjet.net
AI-based Smart Factory Duckki Lee Assistant Professor, Department of Smart Software, Yonam Institute of Technology, Jinju, South Korea ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract –
Smart factories are at the forefront of a revolution in the manufacturing landscape, offering unprecedented efficiency and productivity gains as well as the flexibility to meet customization and varying product requirements. Integrating artificial intelligence and robotics into automated processes not only improves operational efficiency but also minimizes errors and accelerates productivity [[5], [6]]. Furthermore, AI-driven data analysis and real-time monitoring have made significant contributions to improving product quality control, promoting sustainable manufacturing practices, and facilitating the delivery of products customized to individual customer needs [[13], [17]].
Advances in artificial intelligence (AI) technology have triggered widespread changes in various areas of manufacturing, including process automation, predictive maintenance, quality control improvements, supply chain optimization, and customized production. These changes play a vital role in enabling manufacturers to respond flexibly to future challenges and ensure a competitive advantage on the global stage. The development of artificial intelligence technology is driving the manufacturing industry to develop in a smarter, more efficient, and more sustainable direction. AI will become the cornerstone of the future smart factory pattern. This paper discusses the core components of a smart factory and examines the role of artificial intelligence technology within this framework. In addition, specific application areas of artificial intelligence in smart factories are examined and their effects are evaluated. Additionally, this paper discusses the technical and economic challenges encountered when implementing AI-based smart factories and proposes solutions to overcome these obstacles.
The development of artificial intelligence technology, especially machine learning and deep learning, can help drive innovation in key areas of manufacturing such as process optimization, quality control, and inventory management, enabling manufacturers to skillfully respond to and adapt to future challenges and ensure competitive advantage on the global stage [[8], [9], [14], [22]]. These technological advances are leading the manufacturing industry towards a smarter, more efficient, and more sustainable future, positioning artificial intelligence as the cornerstone of shaping the future of manufacturing.
Key Words: Artificial Intelligence, Smart Factory, Smart Manufacturing, AI-based Smart Factory, Industry 4.0, Technological Barriers, Economic Barriers, Implementation Challenges
The smart factory [[5], [6], [12], [13], [16], [17], [21], [22]], is characterized by the ability to integrate the life cycle of product design, manufacturing, and distribution under a factory roof in real-time, and its significance lies not only in the improvement of productivity. They represent the next stage of development in factory automation, where ICT merges with manufacturing technology to enable machines and components within a factory to communicate and orchestrate optimal production systems. This not only facilitates customized manufacturing but also supports complex and diverse production processes, providing the ability to meet the needs of different customers.
1. INTRODUCTION The emergence of the fourth industrial revolution (often referred to as Industry 4.0 [[1]-[4], [11], [16], [19]] marks a critical moment in the evolution of manufacturing and is deeply rooted in the digital transformation that has begun to reshape industry definitions. The concept was first proposed by the federal government in 2011 under the slogan "Industry 4.0". It has quickly gained attention globally and heralds a new era in which information technology is seamlessly integrated into manufacturing processes, thereby increasing productivity and automation. process. The modernization of manufacturing driven by technological advancements and changing market dynamics highlights the growing importance of smart factories. These facilities embody the convergence of information and communications technology (ICT) and artificial intelligence (AI) to optimize manufacturing processes to maximize productivity, efficiency, and adaptability.
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This paper is structured as follows: Section 2 discusses the core components of a smart factory and examines the role of artificial intelligence technology in this framework. Section 3 explores specific application areas of AI in smart factories and evaluates its impact. Section 4 discusses the technical and economic challenges of implementing AIbased smart factories, and Section 5 presents innovative solutions and strategies to address these challenges. Finally, Section 6 concludes the paper.
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