Full lifecycle coverage of product quality scenarios, quality data interconnections, info. silo eliminated
Automatic data analysis and monitoring, quality improvement collaboration based on quality gate and PDCA theory,
Cloud-end-edge multi-scenario model deployments, high concurrency and low latency end-edge one-click model pushing from the cloud
Total quality management of production and manufacturing, continuous PDCA improvement, can serve users of different levels
Quality system management/incoming material quality inspection/first and sampling inspection/ incoming and outgoing goods management/ instrumentation management and more
Automated test scheduling / inspection of automated testing process / equipment maintenance / intelligent maintenance and more
Solve product problems from whole industrial chain perspective / key materials / forward and backward traceability and more
It supports NPI planning, development, validation management and FMEA & DFM analysis and so on, summarizing experiences for continuous product improvement. The R&D quality management module can effectively reduce the time and cost of product development, and improve the quality, reliability and safety of products.
Quality control that aims for each stage of the product manufacturing process, including the inspection planning, quality control plans, first/patrol inspections, outgoing goods inspections, statistical process control, inspection report review and evaluation, problem correction & prevention and so on. We aim to reduce the product scrap rate, cut production costs, and identify hidden problems in the manufacturing process in a timely manner.
The quality system module is used to develop quality KPIs, perform instrumentation management/MSA, manage enterprise quality processes, quality control management, and internal/external audit management. It helps enterprises to continuously optimize quality processes and ensures that instrumentations and measuring methods can effectively assess product quality.