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Industry 4.0 has revolutionized the way companies in Indonesia operate by using emerging technologies and machine development to improve industrial processes. However, the advancements don't stop there. Quality 4.0, an extension of Industry 4.0, uses technology to enhance quality management and improve market share, innovation, and brand recognition. In this blog post, we will delve deeper into the concept of Quality 4.0 and discuss a proposed four-layer decision-making architecture that uses AI models and techniques to forecast the quality of manufactured products.

Industry 4.0 (I4.0) is a new manufacturing paradigm that integrates computation tools, networking devices, and physical processes to create Cyber Physical Systems (CPS). This paradigm shift has led to the emergence of Quality 4.0, which refers to the digitization of quality using modern technologies in the context of Industry 4.0. Quality Management (QM) has undergone a transformation from compliance-orientation to improvement-orientation and business management-orientation. However, there is a gap in the literature and an insufficient understanding of complexity of QM issues in real-world situations of I4.0.

To address this gap, a group of researchers conducted a systematic literature review to identify 51 papers related to QM in I4.0. They then used a Multi-Dimensional Analysis (MA) approach to present the findings in a structured manner. The MA framework consists of six dimensions and 41 variants, which helped identify 367 research gaps in the field.

Industry 4.0 is revolutionizing the way companies operate, and Quality 4.0 is one of the ways organizations can embrace this technological transformation. While Quality 4.0 is not just a monitoring tool, it helps anticipate and prevent problems, and solves them effectively if they occur. This approach to quality management is crucial in addressing the challenges that the Fourth Industrial Revolution has brought to Quality Management (QM), such as increasingly complex and customized products, small batches of production models in short periods, and additive and precision manufacturing supported by modeling and simulation.

The integration of smart processes and improving real-time QM with synchronizing data manufacturing processes and activities can enhance the role of QM. Quality 4.0 integrates data and technologies to promote employees' creativity and enhance quality performance, leading to continuous improvement and a competitive strategy focus on quality and innovation.

The Fourth Industrial Revolution, also known as Industry 4.0 (I4.0), has significantly transformed the manufacturing industry by integrating modern smart technologies, such as the Internet of Things (IoT) and Cyber Physical Systems (CPS). This integration has led to the emergence of "Smart Manufacturing," which has enabled the production of dynamic, flexible, and self-organized manufacturing systems. Quality 4.0 (Q4.0) has since stemmed from I4.0 and aims to digitalize quality management practices, aligning them with the emergent capabilities of I4.0 to achieve excellence.

Quality management has always been a crucial aspect of businesses, but with the advent of the fourth industrial revolution, it has become more challenging than ever before. However, this has also brought new opportunities for businesses to adapt to the changing landscape and improve their quality management practices. One such paradigm of quality management is Quality 4.0, which emphasizes the use of technology and data-driven solutions to manage quality effectively.

The Fourth Industrial Revolution, is also known as Industry 4.0, and it is transforming the way companies operate. This revolution is about integrating new technologies into production processes, and it has significant implications for the way companies are organized and managed, as well as the functions of their employees. Along with this revolution has emerged Quality 4.0, a new approach to quality management in response to Industry 4.0.

Quality 4.0 is a data-oriented discipline that combines quality management with new technologies such as Big Data and Artificial Intelligence. It is an approach that emphasizes the strategic advantage of quality in modern products and the importance of service quality for business differentiation and competitiveness. The focus now shifts from the product to data, and companies must adapt to new data processing and analysis techniques.

Quality 4.0, a term coined to describe the integration of traditional quality management principles with Industry 4.0 technologies, has been gaining considerable attention in the research community. In fact, it has evolved beyond being a mere addition to Industry 4.0 and has developed its own knowledge structure. In 2021, an explosion of new themes and specific frameworks related to Quality 4.0 emerged. Researchers have proposed various frameworks for integrating Quality 4.0 with other principles such as Total Quality Management (TQM). As the research landscape in the Quality 4.0 domain continues to grow, a bibliometric analysis was conducted to gain a better understanding of the field.

The industrial system has undergone a significant transformation in the 21st century, thanks to Industry 4.0. This revolution in the manufacturing industry has brought about many changes such as digitalization and decentralization, which have allowed for automated processes and machine learning. As a result, series production with low scrap rates and increased time efficiency has become possible. The incorporation of artificial intelligence (AI), the internet of things (IoT), and Big Data has played a significant role in these improvements.

The ultimate aim of Industry 4.0 is to achieve a certain level of Quality 4.0, which requires the whole organization to cooperate and make changes. The Covid-19 pandemic has further accelerated the adoption of Industry 4.0, as remote working has become the norm in many industries. In Hungary, the state has announced subsidies to help SMEs adapt to global industry trends and improve their competitiveness.