Quality 4.0 is about the digitalisation of quality management and is complimentary to the concept of Industry 4.0. Quality 4.0 is not a direct replacement of existing best-in-class quality management practices in organisations that have proven to work for many years. However, Quality 4.0 rather builds and improves the existing quality systems and practices to demonstrate significant value chain improvements across customer satisfaction, operational efficiency and productivity. The adoption of Quality 4.0 helps organisations to automate and simplify traditionally time-consuming and error-prone business processes, resulting in superior product performance from operational, economic and environmental perspectives.
A recent blog indicated that only 13% of organisations believe that quality is a strategic priority for senior management. Developing an effective Quality 4.0 strategy enables organisations to address long-standing quality issues due to ineffective or poor communication across the business, lack of cross-functional ownership, and fragmented data sources and systems that are not inter-connected across the business. The authors argue that the emergence of Quality 4.0 will provide a platform for improved data transparency and high quality data-driven decisions for people across various business functions so that effective decisions can be made at all levels. In our personal experience, too often, quality professionals make their decisions using only intuition and/or qualitative assessments, which are very subjective. Quality 4.0 addresses this issue with the availability of sensors, big data analytics (BDA), and Internet of things (IoT). Big data are possible because of the development of better, faster, and more informative sensor devices that are able to collect data from multiple sources and store it in an integrated database for easy access to engineers, operators, and senior managers at any time for decision-making.
Traditional quality management practices are faced with a multitude of challenges. For example, customer needs are ever-changing, which makes it difficult to maintain a high level of quality. In addition, product recalls cost organisations millions of dollars and loss of goodwill and reputation. Employee efforts must also match demand and customer expectations. Further, resources must be allocated for research and innovations in order to develop new methods of quality. Also, global standardisation of quality standards is difficult when companies are producing from different locations. Finally, it is difficult to sustain quality levels as products become more customised.
Quality 4.0 is uses technology such as cyber-physical systems, IoT, cloud computing, artificial intelligence (AI), and additive manufacturing, among others, to meet the quality of design, quality of conformance, and quality of performance requirements of an organisation. This article presents the findings of a pilot survey on the implementation of Quality 4.0 initiatives in European firms. Approximately 36 quality directors from European firms participated in this pilot study, which are provided by sector in Figure 1. Further, Figure 2 presents Quality 4.0 implementation status by sector from the participating firms.