# Quality 4.0 and Cognitive Engineering Applied to Quality Management Systems: A Framework
### Industry 4.0 and Quality 4.0  
Manufacturing may reduce human error, reduce time to market, and hasten the rate at which industrial processes may adapt to new information by using digital technologies. Industry 4.0 describes the real-time synchronization of operational and information technology as well as the interdependence of processes and analytics [6]. Industry 4.0 changes the ways in which businesses produce, improve, and distribute their goods. Manufacturers are incorporating cutting-edge technologies, such as cloud computing and analytics, the IoT, Artificial Intelligence (AI), and Machine Learning (ML), into their manufacturing facilities and operations. In order to create a full and interconnected corporate environment, Industry 4.0, combines physical production and operations with intelligent digital technologies [7]. To achieve this convergence, the manufacturing process must be reconfigured with an architecture that can take in massive amounts of real-time data and allow a better control of the entire environment [8]. Industry 4.0 (I4.0) brings about changes that are significant from an IT standpoint as well as from an organizational one. The ability to decide why and how data should be applied should thus be possessed by Quality experts because the processes, managed by these professionals, must choose how and when to use the information, rather than the opposite way around [9]. Process lifetimes are shortened by technological growth, giving little time to comprehend and address engineering issues from a practical perspective [5]. The term \"Quality 4.0\" describes the digitization of TQM and how it has affected the quality of procedures and technology, but also how it impacts people. It expands on established quality tools and takes into account connectivity, intelligence, and automation in order to improve performance and make prompt data-driven decisions in an end-to-end scenario that involves all parties and offers visibility and transparency [10]. It might also be described as the use of technology from the fourth industrial revolution to improve quality [11]. Quality 4.0 emphasizes the important details, lowers the cost of subpar quality, and tracks quality outcomes. Using analytics, several organizations have begun to increase the resolution of their data collecting. Instead of focusing on component inspection as the primary quality duty, and besides establishing a Quality Management System (QMS) to themselves, these companies examine the quality and operating practices of their suppliers to prevent issues with quality later on. They understand their suppliers' internal processes and enhance component efficiency in close collaboration with their suppliers' to meet their quality needs [12]. For Quality Management Systems and practitioners to be successful and contribute to the overall advantages of the organization, they must be a seamless part of the environment. Large volumes of data from numerous sources are made available to quality professionals in real-time and concurrently, and this data can be used to enable rapid, tactical decision-making [13]. Each new quality philosophy has altered the approach to problem-solving in order to deal with the industrial systems' ever-increasing complexity [5]. In the fourth industrial revolution era, a brand-new paradigm called Quality 4.0 has recently emerged to address this. The quest of performance excellence during these potentially disruptive times of digital change led to the rise of this paradigm [14]. Quality 4.0 is built on a new paradigm that helps decision makers to make smart decisions based on empirical learning, empirical knowledge discovery, and real-time data generation, collection, and analysis. It makes use of industrial big data, the industrial internet of things, and artificial intelligence, which are I4.0 tools, to address a completely new set of complex problems [14]. The survival of industry now depends on Quality 4.0. Any process, from the development of products to front-office business activities, must stand out via consistency.