Many factories face customer audits that require them to implement SPC (Service Process Control) as soon as possible, which presents a significant challenge. Implementing SPC doesn't seem like an easy or quick process. So what can be done?
Using Excel is incredibly time-consuming and doesn't allow for comprehensive SPC process control.
· SPC software can acquire test data and operational data through multiple methods;
· It should be ready to use immediately upon deployment and installation;
· It shouldn't be used by just one person; it should be usable by both the quality department and the production department;
· And it shouldn't be too expensive, costing hundreds of thousands.
· Support for various SPC control charts
· Support for eight major anomaly detection rules and custom rules
· Support for process capability statistics such as CPK, PPK, CPM, and CA
· Real-time viewing of SPC analysis reports
· SPC dashboard functionality
· Ideally, backend monitoring with notifications via email, WeChat Work, etc.
It seems that to meet all the above requirements, it would require at least hundreds of thousands US dollars plus one or two months of on-site implementation, which is quite difficult in terms of both cost and time.

· Deployable in just one day.
· Price in the tens of thousands US dollars.
· Unlimited users, unlimited online users, unlimited monitoring points, unlimited dashboards; one account per user.
· All users access the service through a browser.
· Server license, one-time lifetime license, no annual license fee.
· Supports SPC control charts: I-MR, Xbar-S, Xbar-R, MR-R/S, NP, C, P, U.
· Fully supports the eight standard SPC anomaly detection rules (and custom anomaly detection rules).
· Multiple data entry methods: online manual entry, online Excel import, HTTP interface synchronization, TCP server mode, MQTT mode, OPC data acquisition.
· One-click output of comprehensive SPC analysis reports: control charts, normality tests, rainbow charts, box plots, distribution fitting, process capability analysis histograms, machine learning outlier charts, capability comparison charts, data summaries, large model interpretation.
· Create any number of SPC monitoring dashboards: dynamic dashboards, comprehensive dashboards, statistical dashboards, which can include SPC control charts, rainbow charts, histograms, and box plots for any testing item, ideal for workshop dashboards.
· Backend monitoring: SPC control chart outlier detection, CPK and PPK anomaly monitoring.
· Notification channels: email, WeChat Work, DingTalk, Lark, MQTT, API.
· Real-time automatic updates of control charts.
· 11 language versions.
· Multiple analysis tools: CPK tool, regression analysis, correlation analysis, normality tests, one-sample t-tests, two-sample t-tests, distribution fitting, etc.
· Open SPC outlier detection API and other data synchronization, testing item creation, etc. APIs.
· Integrated with MSA.
· Private deployment on the enterprise intranet, data security and controllability, browser-based, no client installation required.