Smart Factory and Industry 4.0: A Survey on Advancements, Technologies, Methods and Perspectives of Digital Transformation in Manufacturing

Digitalization is fundamentally transforming the manufacturing industry, leading to the development of intelligent factories, known as Smart Factories. These form the core of Industry 4.0 and combine innovative technologies such as the Industrial Internet of Things (IIoT), Cyber-Physical Systems (CPS), Machine Learning (ML), Artificial Intelligence (AI) and Big Data to maximize efficiency, flexibility and resource conservation. This paper provides a comprehensive overview of the Smart Factory as a central element of the Fourth Industrial Revolution (Industry 4.0). It presents key digitalization methods as well as technological innovations and approaches that have been developed over more than a decade of continuous progress in Industry 4.0 and digitalization. Finally, an insight into current research at University of Applied Sciences Bochum is provided, focusing on the application and practical implementation of intelligent technologies in the manufacturing industry. The emphasis is on solution approaches for the realization of smart production processes that equally address technical, social and economic requirements.After more than a decade of technological progress and developments in the context of Industry 4.0, digitalization is progressing steadily. Characterized by the use of innovative technologies and digital networking, the fourth industrial revolution marks a decisive turning point. It is increasingly becoming a key factor for companies to remain successful and fit for the future in a highly competitive market environment.[1] The systematic planning of a networked factory is made possible through the targeted use of modern methods and tools. This takes into account a variety of framework conditions, integrates all elements of the value chain and at the same time creates the basis for self-controlling and autonomous company processes. The so-called smart factory uses state-of-the-art technologies to not only achieve operational goals efficiently, but also to fulfill social and economic functions by seamlessly connecting the physical and virtual worlds.[1] As part of the digital transformation, complex, interactive and autonomous systems are being created, for example through the use of brownfield methodology. These enable a more efficient and powerful optimization of existing structures as well as business and production processes by specifically upgrading and integrating existing potential.[1,2,3] With the help of cyber-physical systems, physical devices and processes in established production landscapes can be equipped with computing and network capabilities and connected to a data and knowledge structure that is ultimately integrated into the manufacturing process.[1,4,5] The use of algorithms for industrial big data and advanced technologies enables the optimization and adaptation of manufacturing processes. In this dynamic development, self-adaptive, self-learning and autonomous systems can help to successfully overcome the challenges of rapid technological progress and increasing product complexity. The integration of information technologies and operational technologies is crucial to achieving the overarching goal of digitalization in established industries. In this context, there is a particular focus on creating conditions that can fulfill not only operational goals but also social and economic functions within a factory.[6,7] This requirement suggests that the redesign of a digital factory must, on the one hand, ensure the smooth technical and economic flow of the production process and, on the other hand, also create optimal working conditions for the personnel in the factory. [8,9,10]