Training background

With the promotion of intelligent manufacturing concept, more and more enterprises begin to transform; but in the process of enterprise transformation, there is a lack of corresponding case reference on how to realize intelligent quality management. It seems that in addition to the traditional seven tools, what is conceivable is the concept of TQM (total quality management). In view of this situation, we have specially launched the digital transformation of quality management to help enterprises improve the level of quality control.

Training object

General Manager, Manufacturing Manager, Engineering Manager, Quality Manager, Purchasing and Logistics Manager, Cost Control Manager, Project Manager, Industrial Engineer, Logistics Engineer, Lean Engineer, Customer Service staff, and supervisors and managers interested in improving Lean skills

Training income

1. Build: the implementation model of enterprise digital quality management
2. Master: a set of effective quality digital management methods and tools
3. Improvement: the quality management water of the enterprise
4. Insight: great changes in quality management and operation

Training outline

Section 1, Industry and Quality Review
1. Problems and challenges faced by enterprise quality management
2. The cognitive misunderstanding of enterprise digital transformation
3. Expectations and goals of Made in China 2025
4. Road of quality management transformation: take customer needs as the center of quality management

Section 2. Planning and practice of enterprise digital transformation road
1. Six-step planning method to realize the digital transformation of enterprises
1) The first step: the formulation of the enterprise's intelligent manufacturing transformation and development strategy and planning
2) Step 2: C2M- -the construction and planning of the front, middle and background of textile enterprises
3) Step 3: Simulation- -to achieve large-scale customization of the market design of intelligent weapon
4) Step 4: real-time quality monitoring and intelligent production
5) Step 5: Digital transformation of SPC analysis and quality improvement
6) Step 6: Information + big data to help the new development of quality management

Section 3, Implementation of comprehensive Quality management in intelligent factory
1. What is big data
2. Artificial intelligence AI: the "brain" of digital quality management
3. Build a digital quality management ecosystem

  NOA|挪亚2022年课程计划.pdf