Technical articles and insights on NEXSPC and Statistical Process Control (SPC).
Keyword "SPC" found 10 articles (current page)
Discover why data collection is the biggest obstacle to successful SPC implementation. Learn how NexSPC integrates manual entry, Excel import, MES/ERP integration, IoT connectivity, OPC UA, MQTT, databases, and inspection devices to enable real-time quality control.…
Learn how NexSPC delivers real-time quality alerts through Email, WeCom, DingTalk, Lark, API interfaces, and MQTT push notifications, helping manufacturers respond quickly to process abnormalities and improve quality control.…
What is SPC (Statistical Process Control)? Learn the fundamentals of control charts, process capability analysis, common vs. special cause variation, and how modern SPC software helps manufacturers achieve Industry 4.0 quality management.…
Integrated SPC & MSA Platform： Control Charts, CPK Analysis, Real-Time Monitoring, Rule Violation Detection, and MSA Studies—all in one system. No additional statistical software required.…
NexSPC Real-Time Monitoring Dashboard can be accessed directly through a web browser, making it ideal for both shop-floor operations and remote management. It enables real-time quality monitoring, process control, and decision-making for production teams and management alike.…
Some SPC control charts use only UCL or LCL because real industrial processes often require one-sided control. NexSPC supports flexible one-sided and two-sided control limit configuration.…
NexSPC redefines manufacturing quality software with one-time licensing, unlimited users, unlimited inspection points, unlimited dashboards, on-premise deployment, and rapid half-day implementation.…
NexSPC helps companies through complete log traceability: it is easier to pass audits, it is easier to gain customer trust, and it is easier to achieve closed-loop quality. Final realization: moving from “recording data” to “trusted management”.…
Cpk measures the capability of a process to meet specification limits, while Sigma level and PPM describe process variation and defect risk.…
behind Cpk ≥ 1.33 is essentially a balance among: ① Low enough defect rates. ② Acceptable manufacturing cost. ③ Tolerance for long-term process drift. ④ Industry-standardized quality expectations.…
