Abundant Functional Components
Control Chart
What kind of data is collected in the process?
How to graph data?
Control chart of algorithm related with quality test.
Remove Differences
Remove a particular difference；
Research on the differences in the process;
Summarize reasons and impacts to remove differences.
Improve Procedures
Analyze the deviation direction of procedures;
Summarize the particular reasons;
Take immediate measures to improve.
Recognition on Abnormal Condition and Alarming in Time
JIC SPC can recognize the abnormal condition in the process and send the alarming. For example, plotting points and connecting lines are conducted according to products' features and potential problems are found according to recognition rules of control charts to avoid the producing wastes, and to reduce the reworking and wasting. Via JIC SPC, anomalies on quality of products can be found in the early stage, and losses caused by quality problem of a large quantity of products can be avoided.
Reduction on Dependence on Workers' Experience
To confirm the statistical control limits of the process, to judge whether the process is out of control, timely observation and systematic measurement method replace a lot of detection and verification work, and reduces the dependence on routine inspection. No matter how experienced employees are, via simple pre-job guidance, abnormal quality problems can be found and the workload of quality inspection can be greatly reduced.
Smart Automatic Analysis
JIC SPC adopts the way of automatic analysis. After data is collected into the system which will conduct automatic analysis, users just need to click the related chart to refer to and analyze corresponding questions without the need of complex analysis. According to the defined algorithm, datum about quality can be transformed into easy-to-be-recognized figures or diagrams to find out abnomalies.
Auto Manufacturing
Rail Transit
Biopharmaceuticals
Device Manufacturing
New Energy
Smart Tobacco
Aircraft Manufacturing
