摘要：Quality management has evolved throughout time in ways that allowed companies to adapt quality practices and principles into their activities in order to provide better products/services to their customer. The latest trends point to the pivotal role that quality plays in the Industry 4.0 era, where it is expected to synergize with Industry 4.0 practices in order to ensure that not only products are built faster and cheaper but also that they can meet the quality expectations of the customers. This gave birth to the concept of Quality 4.0, a new way of managing quality which uses modern technologies such as: IoT, Blockchain, Big data, AI and sensors in order to gather relevant information, monitor process performance and act preemptively in regard to the quality of the process output. An issue that emerges however, is identifying the relevant data and ways to manage it as this is considered to be a major obstacle in the implementation of Quality 4.0 practices. The research focuses on providing the foundational base for Knowledge management practices of companies looking to embrace Quality 4.0 to ensure that these companies use relevant data in their daily activities.
