The functional architecture of 1 Ambition -QIS system
Quality management information system is a quality management system based on AMBITION-AgileBuilder platform and BS architecture JAVA language. IT aims to cover the quality management process of the whole product life cycle, connect the quality management data chain of each business process through IT means, and build a perfect collaborative platform for statistical analysis, online monitoring and early warning of enterprise quality management. So as to improve the process control capability, work efficiency, product quality and reduce the cost. Realize the solidification of continuous improvement mechanism of GJBISO 900119001and TS 16949 quality management system PDCA, and enhance the core competitiveness of the whole company.
2. Introduction of main business modules:
2. 1 quality target management
Through the integration with other business modules of ERP and QIS system, quality target management can realize the functions of quality target maintenance, data collection, trend transmission, monthly assessment, monitoring management and monthly report through configuration and customization. Construct a penetrating quality management data system from graphics to data to provide a visual management platform for enterprise management.
The system will realize automatic data integration on the basis of the original business process data, and then eliminate the intermediate summary and statistics link, and comprehensively improve the accuracy and timeliness of the data.
2.2 R&D quality management
The quality management of enterprise R&D process is that there are differences in the R&D stage and input and output management of different product development types such as brand-new development and minor modification. When making a project plan, R&D project managers often spend a lot of energy, and their efficiency is greatly influenced by their experience. At the same time, the input and output of each stage are often influenced by factors such as experience and execution, which leads to uncontrollable product R&D quality. The improvement of evaluation participants and evaluation questions in each stage is often discounted because of the time of product listing; There are many hidden dangers in product quality.
R&D quality management subsystem establishes project templates for different current project types (minor modification, new development, etc.). Realizing the definition of input and output of development tasks in each stage can help project managers to better implement project management requirements in the process of making project plans. It can also be integrated with PDM project plan to carry out quality control based on project quality control and review requirements, realize the process management of tasks, decision points and technical review points in each stage of new product development based on project template, and ensure the control of each stage of the system. After the R&D review and input are completed, the status of each task is dynamically updated and the project status report is output. Support and track the management of review problems and prototype review problems at all stages to ensure that R&D problems are obvious and effectively improved. Support the query and statistics of abnormal quality data of various products after sale and manufacturing process, and provide improvement input for new product design optimization. Through the above functions, the quality of R&D process can be effectively controlled, and then the product quality management can be extended to the product R&D stage. Really good products are designed.
2.3 FMEA
The FMEA subsystem maintains the knowledge base of failure mode, severity, frequency and detectability, compiles D-FMEA and P-FMEA based on product BOM or production process, evaluates the severity, frequency and detectability of product function or process failure mode, systematically evaluates the risk RPN coefficient of product failure mode, and supports setting RPN monitoring valves for RPN monitoring and management. For failure modes with RPN risk coefficient exceeding the acceptable value, online corrective and preventive measures are supported to promote improved management, and the improvement process coordination, tracking management and timely completion rate statistics of failure modes are carried out based on the system workflow platform. After the effect verification, the severity, frequency and detectability evaluation of failure modes in the list of corrective measures and the risk coefficient of RPN are automatically written back to FMEA, and the FMEA version is updated. Furthermore, it can realize the normalization of FMEA management into daily management, and solve the management problems of many enterprises doing FMEA to cope with audit institutions and customers.
2.4 Supplier Quality Management
The supplier management subsystem will cover supplier files, supplier visits, annual supplier monitoring, supplier performance evaluation, supplier quality statistical analysis and other business functions. It will realize the functions of supplier development process management, fair and transparent supplier performance evaluation, supplier supervision, access inspection, improvement and tracking management of abnormal incoming quality and so on. It will realize the on-site audit of supplier development access, sample identification and effective tracking of small batch trial production development progress; Cooperate with supplier performance evaluation, rank evaluation scores and monitor red and yellow cards; Through the integration with other subsystems, the qualified rate of suppliers' incoming materials, the on-line elimination rate of parts manufacturing process and the quality level of after-sales PPM value are fully quantified, providing comprehensive and efficient data support for suppliers to meet and improve communication; And start the tracking management of supplier improvement.
2.5 incoming inspection management
Establish functions covering inspection task management, incoming inspection management, incoming inspection statistical analysis, inspection standard maintenance, inspection quality statistical analysis, sampling scheme maintenance, etc. To realize the comprehensive and standardized management of incoming inspection. Support statistical analysis of incoming inspection qualified rate at any time. Flexible statistical analysis functions such as comparison of qualified rates of multiple materials from the same supplier, comparison of qualified rates of multiple suppliers of the same material, and multidimensional analysis of unqualified incoming goods inspection are supported.
2.6 Manufacturing quality management
Hongtu manufacturing quality management solution will cover functions such as inspection, inspection, rework, unqualified handling, loss identification and quality statistical analysis. It is necessary to collect the counting data of each inspection in the production process through the collection system, and realize the dynamic statistical analysis of one-time inspection qualification rate, bad Plato analysis and bad TOP 10 comparison at any time period, any product model and any inspection point. Based on SPC statistical process control system, process control planning, data acquisition, control chart, histogram and statistical analysis are carried out on the measurement quality characteristics. Based on IT technology, the management of manufacturing quality valves (for example, the system automatically sends out early warning information twice a day for the same class A defect) and process capability are monitored, and quality monitoring and early warning are carried out for each workshop, and corrective and preventive measures can also be automatically started. Based on the need of improvement verification, provide statistical analysis platform support to verify the improvement tracking effect of specific non-performing projects. Realize online statistical analysis, monitoring and early warning of manufacturing process quality, and improve support for continuous improvement of manufacturing process quality.
It also provides qualified rate statistics and abnormal times support for manufacturing quality target management. Anbixing quality management system can follow up the needs of enterprises, support early warning of quality monitoring and serious bad duplication, and provide effect verification for the improvement and tracking of specific bad projects. The collected product quality information also provides input for the product quality document.
Through the integration with ERP system, bar code system and bad coding, the efficient collection, online statistical analysis, monitoring and early warning of bad products in the production process are realized. Provide support for manufacturing quality control.
2.7 SPC statistical process control
Through the integration with hardware such as automatic measuring machine and caliper, the system supports online or offline automatic data acquisition of key quality characteristics such as riveting height, riveting size, runout, outer diameter and depth. Based on SPC statistical process control system, the process control chart, histogram and statistics are deeply mined and analyzed, which supports the evaluation and monitoring of CPK process capability and realizes the overall improvement of process quality from qualified control to process capability control. Comprehensively improve the quality management level of manufacturing process. Provide platform support for the performance, index evaluation, analysis and monitoring of the whole machine.
2.8 After-sales quality management
The after-sales management subsystem will cover customer information, after-sales service quality information import, after-sales complaint handling, after-sales quality statistical analysis, return PPM statistics and other functions; It can integrate the supplier management system and improve the management subsystem internally, and realize the functions of online claim notification, supplier improvement notification, process tracking and overdue warning improvement. Through the opportunity of system introduction, the standardization and solidification of after-sales defects and core business processes are realized; Based on the after-sales management platform, the management collaboration among customers, maintenance service stations, factories and suppliers is realized, providing platform support for quality service. At the same time, it provides retrospective support for the identification of after-sales claims. Improve the process management ability, data accuracy and statistical analysis efficiency, and improve the claim rate.
2.9 Product quality traceability management
In the process of building the product quality traceability system, there is a logical connection between the batch information of product materials, process inspection information, key performance index detection data, nonconforming product processing information and other information. Establish a product quality traceability system covering the whole process of product production, including material batch information, material batch information during production, product quality information and delivery information. Through the traceability system, the production scene can be quickly restored to provide support for the investigation of product defects. After the material batch is locked, the specific product batch details, product number (or product batch number) details and flow direction of the defective product can be locked conveniently and efficiently. Provide efficient traceability query support for product quality control and quality improvement. It provides forward and backward query and tracking functions of product traceability information, thus effectively ensuring the needs of product traceability management.
When abnormal product quality or abnormal material quality is found, forward and reverse traceability queries can be quickly expanded.
Enter the product number or material batch number, and click Query. The system will quickly locate the product information according to the delivery notice and production order in the background, and double-click the query result to view the complete quality information of the product;