ICT for Advanced Manufacturing

Information and communication technology is undergoing rapid development, and many disruptive technologies, such as cloud computing, Internet of Things, big data, and artificial intelligence, have emerged. These technologies are permeating the manufacturing industry and enable the fusion of physical and virtual worlds through cyber-physical systems (CPS), which mark the advent of the fourth stage of industrial production (i.e., Industry 4.0). The widespread application of CPS in manufacturing environments renders manufacturing systems increasingly smart. To advance research on the implementation of Industry 4.0, this study examines smart manufacturing systems for Industry 4.0. First, a conceptual framework of smart manufacturing systems for Industry 4.0 is presented. Second, demonstrative scenarios that pertain to smart design, smart machining, smart control, smart monitoring, and smart scheduling, are presented. Key technologies and their possible applications to Industry 4.0 smart manufacturing systems are reviewed based on these demonstrative scenarios. Finally, challenges and future perspectives are identified and discussed.

Applied Computer Science

The continuous development of production processes is currently observed in the fourth industrial revolution, where the key place is the digital transformation of production is known as Industry 4.0. The main technologies in the context of Industry 4.0 consist Cyber-Physical Systems (CPS) and Internet of Things (IoT), which create the capabilities needed for smart factories. Implementation of CPS solutions result in new possibilities creation – mainly in areas such as remote diagnosis, remote services, remote control, condition monitoring, etc. In this paper, authors indicated the importance of Cyber-Physical Systems in the process of the Industry 4.0 and the Smart Manufacturing development. Firstly, the basic information about Cyber-Physical Production Systems were outlined. Then, the alternative definitions and different authors view of the problem were discussed. Secondly, the conceptual model of Cybernetic Physical Production System was presented. Moreover, the case study of pro...

International Journal of Agile Systems and Management

Internet of things (IoT) plays an important role in the manufacturing sector, allowing objects to be sensed and/or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems, and therefore resulting in improved efficiency, accuracy and economic benefit in addition to reduced human intervention. With the worldwide spread of Industry 4.0, IoT-enabled manufacturing is now one of the key supports to smart factory, intelligent automation, and real-time adaptive decision-makings. This paper comprehensively reviews related technologies and worldwide movements so that insights and lessons could be useful for academia and practitioners when contemplating IoT technologies for upgrading and transforming traditional manufacturing into an new future in the context of Industry 4.0.

IRJET, 2021

Smart Manufacturing (SM) uses the blending of next generation Operations Technology (OT) and knowledge Technology (IT) to know significant untapped market opportunities. A fourth technological revolution is propagated in global manufacturing. It supported the introduction of Internet of Things and Servitization concepts into manufacturing companies, leading to vertically and horizontally integrated production systems. Smart manufacturing is taken under consideration as a replacement paradigm that makes work smarter and more connected, bringing speed and adaptableness. The target of this is gaining more and more attention fr systems within the manufacturing sector.

Internet of Things (IoT) is a rapidly growing innovative technology with various applications, functions and services in everyday life and in a wide range of markets and industries. It can be defined as a global dynamic information network that involves interconnected devices and objects and aims at the mutual interconnection and interaction among people, services and devices at any time and regardless of location. IoT utilizes numerous innovative and advanced technologies in order to integrate intelligence into devices so that they can process information and data and gain knowledge. As an outcome, real-time, autonomous and human like intelligent decision-making systems that reduce the need for human involvement and intervention, are developed. Using this advanced network of interconnected devices in addition to its novel technologies, applications and services cannot only enhance life quality, but can also result in personal, professional and economic benefits. Hence, it has rapidly attracted the interest of organizations, industries and enterprises and has been regarded as an innovation enabler and explorer of new initiatives in industrial domains. Nonetheless, there are still challenges and open research issues that need to be investigated and addressed in order for IoT to be adopted and fully utilized by industries and enterprises. This study scrutinizes IoT from an industrial perspective and presents some of its numerous application domains (i.e. transportation and logistics, healthcare and sanitary, smart cities, smart environments and industry). It describes the context of Industry 4.0 and analyzes its involved innovative key technologies (i.e. cloud computing, Big Data (BD), Industrial Internet of Things (IIoT) and Cyber-Physical Systems (CPSs) along with their benefits. Moreover, it explores the concept of intelligent manufacturing and looks into the main IoT challenges and open research issues.

2020

The manufacturing environment undergoes a disruptive evolution due to the Fourth Industrial Revolution driven by the Industrial Internet of Things and Cyber Physical Systems technologies. This evolution is applicable to further sectors comprising similar requirements, involving large numbers of devices that need to interoperate, exchange their data and be controlled. Integration at the manufacturing environment remains a challenge taking into account the diversity of equipment / devices, the existence of legacy systems, and the need to integrate IoT devices participating in the production paradigm. This paper presents an AutomationML based approach for this integration, modeling the industrial manufacturing environment, and enabling its emulation through a 3D Virtual Environment.

European Journal of Engineering Research and Science, 2017

Industry 4.0 is being presented as the fourth industrial revolution in which intelligent machines, advanced sensors, and smart logistic networks and suppliers will be connected to the internet of things. Such an intelligent network would create a cyber-physical system that scan store all of the supply chain data in the cloud and allow access to these data through different devices connected to the internet. Thus, the factory of the future could be established. This project proposes the creation of a manufacturing cell at the shop floor level based on the concepts of Industry 4.0. The effects on production of industry 4.0 emerging with this mind is very important. Therefore, the impacts in production of industry 4.0 are examined in this paper.

2021

Asian Science Bulletin, 2024

The integration of all the processes that smart factories will use will take time, as they are very different from the norm. Among these procedures is: Machine learning: Every aspect of manufacturing is optimized, cutting time to market and energy usage, as systems acquire and evaluate fresh data. Over the past few decades, the growing trend of intelligent technology in industries such as manufacturing has drawn extensive study attention from all around the world. Numerous cutting-edge technologies are included in Smart Technology (ST), including blockchain, cyber-physical production systems, the Industrial Network of Things (IOT), internet of things, artificial intelligence and systematic data analysis. In order to reduce the distance between humans and machines, we give an overview of several smart technologies that can be used to regulate the sophisticated characteristics associated with computers and sensor technologies. This research paper shows the complete literature review of ST to increase the production and maintenance of machinery equipment and future threats faced by ST. This paper also includes a survey report on the rate of adoption today as compared to the past five years, to obtain real-time results, costeffective techniques and the use of different sensors to reduce the human workload in the manufacturing sector.

Applied Sciences

The rise of Industry 4.0, which employs emerging powerful and intelligent technologies and represents the digital transformation of manufacturing, has a significant impact on society, industry, and other production sectors. The industrial scene is witnessing ever-increasing pressure to improve its agility and versatility to accommodate the highly modularized, customized, and dynamic demands of production. One of the key concepts within Industry 4.0 is the smart factory, which represents a manufacturing/production system with interconnected processes and operations via cyber-physical systems, the Internet of Things, and state-of-the-art digital technologies. This paper outlines the design of a smart cyber-physical system that complies with the innovative smart factory framework for Industry 4.0 and implements the core industrial, computing, information, and communication technologies of the smart factory. It discusses how to combine the key components (pillars) of a smart factory to ...