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Statistical Process Control (SPC/SQC)

Control (SPC/SQC) Challenge

Production teams across the process industries need a uniform way to interpret near-real-time data to act on the right issues and continuously improve production, quality, and safety metrics.

Statistical Process Control (SPC) charts are commonly used to establish this uniform approach but are often static and require manual updates which is time-consuming and prohibitive for process experts.

With the Seeq Advanced Analytics and AI Suite, SPC becomes dynamic, automated, and scalable across the enterprise. By integrating predictive analytics, real-time monitoring, and AI-driven insights, Seeq enables teams to quickly detect anomalies, optimize asset performance, and reduce downtime. Our solutions connect seamlessly with multiple data sources, making it easier to interpret time-series data and standardize reporting across facilities. Engineers, operators, and executives gain a shared view of production metrics, empowering continuous improvement and faster decision-making. Ultimately, Seeq transforms SPC into a proactive tool for operational excellence, sustainability, and digital transformation in process industries worldwide.

Control (SPC/SQC) Solution

By leveraging Seeq, teams can use live data source connectivity to create control charts monitoring near-real-time data and automatically updating control metrics based on grade/product code.

Within Seeq, SPC charts can be created with added context, such as product types or grade codes, to properly segment data sets and apply correct limits to specific operating modes. Seeq also allows control chart monitoring of signal aggregations adding additional flexibility to the types of processes and parameters that can be monitored. Seeq’s SPC Add-on can be used for faster deployment and scaling.

In addition to SPC, Seeq enables Measurement System Analysis (MSA) to ensure data accuracy and reliability before applying advanced analytics. By combining SPC with MSA, teams can validate measurement systems, minimize variation, and build greater confidence in their insights. This integration allows process industries to move beyond static quality checks, applying predictive analytics to improve production, safety, and sustainability. With Seeq, organizations can accelerate digital transformation by unifying quality management, asset monitoring, and continuous improvement into one trusted advanced analytics platform.

Results

As a result, automated SPC control charts can be easily created, enabling process personnel to spend less time gathering, cleansing, and manipulating data. These charts can be shared with manufacturing and production teams, empowering data driven decisions based on a robust statistical approach.

Data Sources

  • Process data: AVEVA PI  System (formerly OSIsoft), Honeywell PHD, many others
  • Quality data: Laboratory  Information   Management System (LIMS)

Data Cleansing

  • Seeq Value Search and/or Formula to identify production time periods and good production periods
  • Signal from Condition to pre-aggregate process parameters for use in control chart (useful for batch/pharma use cases)
  • Seeq Histogram tool to assess data normality

Calculations & Conditions

  • Seeq SPC Add-on to generate a histogram, control chart, and choice of run rules
  • Seeq Email Notification Add-on to enable email notifications based on run rule conditions

Reporting & Collaboration

  • Automated SPC control charts can be continuously monitored with run rules flagging production deviations, with the option to enable email notifications. This report can be easily shared, so everyone involved can be kept informed with near-real-time production results.