Contents



Preface

The rise of artificial intelligence, the Internet, and other emerging technologies has promoted the deep integration of new information and advanced communication and manufacturing technologies. It has also encouraged the transformation of manufacturing and services to digitalization, networking, and intelligence, which is undoubtedly a revolution in manufacturing methods and technical means. This transformation inevitably affects all aspects of the strategic orientation, resource

As one of the key factors of enterprise management, quality control will also change along with changes in the manufacturing environment and factors affecting product quality (man, machine, material, method, and environment). A series of changes will occur in management contents, methods, capabilities, and real-time management effectiveness and efficiency. Some of these changes are revolutionary.

The several following features will have a significant impact on quality management.

Individual customer needs and rapid response. Identifying customer needs is the first step in quality management. Customer needs will gradually change from small varieties and large batches to multiple varieties and small batches; individualized and differentiated customer needs will become the norm. The basic quality management concept of "customer-focused" will be further strengthened with

Customer participation in product design and development. The interconnection in the era of intelligent manufacturing provides the technical means for customers to participate in product design and development. Customers can participate in reviewing, verifying, and validating product design and development, as well as product type testing, reliability testing, and other activities either remotely or on-site, providing the technical means to fully implement customers' individual needs.

Further improved process capability. The technical means and control capabilities of process control are continuously improved to make production more convenient and flexible. Process management based on big data is more accurate, optimized, and mature, so that the predictive maintenance of equipment is gradually realized. Product identification, traceability, and process error prevention are more thorough through technical means such as electronic labels and QR codes. Quality monitoring (including statistical process control) is a real-time process, and quality tools and

Easy-to-use quality management tools and methods based on statistical technology. Quality management tools based on mathematical and statistical technology, such as the seven basic quality tools, statistical process control (SPC), and others, involve a large amount of data statistics and calculations. As such, an intelligent manufacturing system will automatically collect, analyze, and share this data, which needs to be collected in real-time according to different conditions set in

advance, making the use of quality management tools more convenient.

rapid response to customer needs and continuous satisfaction.

allocation, and management of enterprises.

methods are convenient to use.
