Information Technology for Smart Business

Журнал інженерних наук, 2019

In the world of global competition, customers have increasing demands that companies must meet in order to remain active in the global market. For this reason, it is necessary to use new technologies in the production processes, i.e. to implement Industry 4.0. In other words, we need to create a connected company through the digital transformation that enables production processes to discover new ways to increase productivity and improve overall business performance. Companies need to get involved and start a digital system, and from supplier to customer. It is a key to the hidden value that can contribute to the company's productivity, compliance, profitability, as well as the quality of the finished product, and eventually the introduction of flexible industrial automation of production processes. The aforementioned technologies and Internet of Things connect the physical and virtual world with a purpose to better collect and analyze data, transforming them into information that reaches decision-makers. To do this, it is necessary to implement smart sensors that provide information at all times. The implementation of Industry 4.0 in production processes is unthinkable without smart sensors and provides the following: faster product development time, lower overall costs, improved use of production processes and their optimization, as well as company risk management. The paper will outline the motives for the implementation of smart sensors and applications of smart sensors in production processes.

2019

The industrial sector has historically been linked to the prosperity, development and evolution of nations, hence to the genesis of the philosophy of competitiveness, mainly at the manufacturing level. An environment is in perpetual adaptation to trends, and the best example is the change of industrial ideology, as was the case in the past. The global society is facing the same challenges. Customer demands are becoming more and more specific and personalized, which means that factories have to innovate in terms of production and management of mudas in an eco-environmental context closely followed by several global organizations. Information and communication technologies have become the joker to master in order to stay in a market that is global and very competitive. At the heart of this evolution is the emergence of the Industry 4.0 concept, which includes a key element that is intelligent production in factories of the future that can meet different obstacles. The purpose of the c...

Journal of Mechanics Engineering and Automation, 2021

This paper pretends to approach and analyse opportunities and risks that arise under the industrial digital paradigm. Known by different names like Industry 4.0, Smart Manufacturing, or Production 4.0, among other terms digitalization in industry is advancing at a tremendous speed, and is pushing established firms to change and adopt new tools. Besides, it opens opportunities to technological startups to deliver new products and services to the industrial market. As an example of opportunities in operating models, it is clear that digitalization under the model Industry 4.0 and the advantages of Industrial Internet of Things (IIoT), allows faster response to customer demands, increases flexibility allowing the adaptability to manufacturing processes, and provides a tremendous amount of tools for quality improvement in the processes, among other advantages. This article addresses the data driven organization as digitalization evolves and the progress of Artificial Intelligence (AI) and Machine Learning (ML) solutions for industry.

International Journal of Science and Research Archive, 2025

Industry 4.0, also known as the Fourth Industrial Revolution, represents a transformative shift in manufacturing, driven by the integration of digital technologies, automation, data exchange, and the Internet of Things (IoT). This paradigm shift is reshaping traditional manufacturing processes by fostering interconnected, smart systems that enable real-time monitoring, predictive analytics, and enhanced operational efficiency. Through the adoption of cyber-physical systems, cloud computing, advanced robotics, artificial intelligence (AI), and big data analytics, manufacturers can optimize production processes, reduce costs, improve quality, and create flexible, agile production environments. The concept of smart manufacturing, a core component of Industry 4.0, revolves around the seamless interaction between machines, systems, and human operators to enhance decision-making and drive innovation. This paper explores the key technologies, benefits, and challenges associated with Industry 4.0, highlighting its potential to revolutionize the manufacturing landscape and pave the way for more sustainable, efficient, and customized production. The shift toward smart manufacturing presents an opportunity for manufacturers to not only enhance competitiveness but also to address the challenges of an increasingly complex global market.

International Journal of Asian Business and Information Management

IR 4.0 is a new phase for the current trend of automation and data exchange in manufacturing industry that focuses on cloud computing, interconnectivity, the Internet of Things, machine learning, cyber physical learning and creating smart factory. The purpose of this article was to unveil the key factors of the IR 4.0 in Malaysian smart manufacturing context. Two key data collection methods were used: (1) primary data from the face-to-face interview (2) secondary data from the previous study. Significantly, five key factors of IR 4.0 consider for this study. Autonomous production lines, smart manufacturing practices, data challenge, process flexibility, and security. As a result, IR 4.0 for quality management practices might get high impact for the best performance assessment, which addressed in various ways; there are few studies in this area have been conducted in Malaysian manufacturing sector, and to recommend the best practices implemented from the managers’ perspectives. For s...

Mechanik, 2017

The paper illuminates the innovation in software – technical issues related to the concept of intelligent factory presented at TMTS show (Taiwan 2016). Programs and systems for monitoring and management of machines and production lines. And independent actions taken by machine manufacturers to adapt their products to the idea of Industry 4.0.

DISEGNO, 2023

Digital developments have affected humanity in industry and many areas in recent years. The new revolution, defined as Industry 4.0, is planned to ensure remote and digital machine–human collaboration for a new working life. Thanks to internet technologies, communication can be achieved in a digital network with the machines and robots used in production and the employees who manage and supervise them. In this new order, the possibility of people participating in the system remotely, leaving physical production to robots, and using smart production systems leads to factories turning into smart factories. While smart factories require a digital environment between humans and machines, they also bring humans and machines together for different functions. As a result of the digital revolution, the transformation of factories into smart factories and innovations in the production space initiates a new discussion in industrial architecture. This study focuses on the spatial effects of the smart production model of the new factory revolution. The research aims to understand how digital production processes in smart factories change factory designs. For this reason, smart factory definitions were first researched in the literature, and future factory propositions were examined. Then, in this context, smart production spaces designed and built to produce new technologies since the day the new revolution was introduced were analysed. This study aims to present a projection for new production spaces with the morphological analyses performed. As a result, this study will form the basis for future studies as an architectural criticism of the transition process.

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 CULTURAL STUDIES AND SOCIAL SCIENCES, 2024

The advent of Smart Factories marks a significant evolution in manufacturing and production systems, featured by the seamless integration of advanced technologies such as artificial intelligence (AI), the Internet of Things (IoT), and robotics. Human-machine collaboration is at the heart of this transformation, a complex yet essential paradigm where human ingenuity meets machine efficiency. The present paper explores the dynamics of human-machine collaboration in Smart Factories, focusing on the complementary roles of human intuition and machine precision. While machines excel in data processing, repetitive tasks, and precision, humans contribute critical thinking, problem-solving, and adaptive decision-making. Industry 4.0 and Industry 5.0 have changed the scenario of industrial output and customer satisfaction with personalized products. This paper delves into the nuanced dynamics of this collaboration, exploring how the fusion of human cognitive abilities and machine-driven precision can redefine productivity and innovation in the manufacturing process. While machines in Smart Factories bring unparalleled accuracy, speed, and data processing capabilities, humans contribute indispensable skills such as creativity, critical thinking, and emotional intelligence. However, this collaboration has its challenges. The study critically examines the potential pitfalls, including the risk of dehumanization in the workplace, the displacement of conventional roles and methods of manufacturing systems, organizational change in tech scenarios, and the ethical considerations surrounding decision- making in automated environments. Ultimately, the paper argues that for Smart Factories to reach their full potential, there must be a deliberate and thoughtful approach to integrating human and machine capabilities, ensuring that technology amplifies rather than diminishes the human element in an industrial setting.

2020 International Conference on UK-China Emerging Technologies (UCET), 2020

Transformation of traditional manufacturing into intelligent manufacturing has intrigued the manufacturing firms at a global level. The focal objective of the concept of Industry 4.0 is to distinguish highly digitized manufacturing processes where flow of information amid different devices is controlled in an environment with very limited human intervention. Different and complex physical and cyber technologies make Industry 4.0 a way to improve performance, quality, controllability, management and transparency of information of manufacturing processes. Although Industry 4.0 provides numerous potential opportunities to manufacturers, most firms still lack insight into the variety of technologies available in Industry 4.0 as well as the challenges and risks it poses to the society with its implementation. This paper summarizes the available technologies by reviewing existing studies on it, identifies challenges linked to Industry 4.0 and provides guidance to implementing smart factory in the context of Industry 4.0.