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What is the value of QMS(Quality Management System)?

1. Prevent quality problems

Digital quality management can effectively solve a series of problems such as long product production cycle, weak improvement of quality indicators, low efficiency of process quality management, imperfect quality monitoring information of the whole process, and disordered quality management in the process of production stage and product supply flow.

2. Improve the level of management refinement

Through big data analysis, quality control processes and methods can be optimized, quality process control can be implemented in advance, and control process optimization and loss reduction can be achieved. Through the summary of experience, it can improve the standardization and modularization capabilities of product development, optimize the decision-making and capacity balance of mass production and customized production, achieve flexible manufacturing and agile manufacturing, and continue to improve advanced manufacturing capabilities and product quality in the fierce market competition.

3. Enabling supply system management

Integrate production site quality data, supplier material data, real-time market feedback information, and realize the whole chain of quality data. Through the construction of the supply chain data sharing mechanism, it enriches the means of supplier management, optimizes the customer service network, improves the efficiency of customer service, reduces customer complaints, improves customer satisfaction, loyalty and market share, and establishes a good corporate brand image.

4. Promote quality technology innovation

Quality data is the basis of quality management. The collection, statistics, processing and analysis of big data will greatly save the manpower source cost of quality data management. Digital technology improves the efficiency and accuracy of data processing and enriche the technical means of quality monitoring, which will bring about fundamental changes in the statistical theory and detection methods of traditional quality sampling inspection. Quality control is transformed from after-the-fact remediation to digital technology-supported whole-life quality state monitoring and forecasting.

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