Analytical Tools

Stat-Forge Analytical Tools

Practical statistical tools for quality engineering, process monitoring, capability analysis, and structured data workflows. The long-term direction is a platform that connects traditional SPC methods with advanced Tensor-Structured SPC concepts.

Platform in development

What the tools are intended to do

Stat-Forge is being developed as an applied analytics environment for engineers and analysts who need clear statistical output, repeatable workflows, and publication- or report-ready results.

The goal is not only to run calculations, but to help users understand what the results mean in the context of process behavior, quality risk, and structured manufacturing data.

T-squared and Q monitoring space visual

Future tooling will emphasize interpretable diagnostics, including T²/Q monitoring spaces, residual heatmaps, control charts, and exportable reports.

Core capabilities

Statistical testing

Normality testing, distribution fitting, and data diagnostics intended for practical engineering decision-making rather than black-box output.

Capability and SPC

Capability analysis, control charts, process summaries, and visual diagnostics for routine manufacturing and quality monitoring workflows.

Structured data monitoring

Tensor SPC demonstration workflows for data with natural structure, such as variable × time, sensor × time, or feature × condition measurements.

Who it is for

Built around real quality and manufacturing problems

  • Quality engineers and manufacturing engineers
  • Process engineers working with multivariate data
  • Analysts building repeatable SPC and capability workflows
  • Researchers exploring structured process monitoring
  • Teams that need exportable summaries and visual evidence

Direction

Where the app is headed

The planned direction is a browser-based analytical workspace that supports both classical quality tools and modern structured-data monitoring. The Tensor SPC work provides the research foundation for future modules aimed at high-dimensional process data.

As the app matures, this page will become the public launch point for demos, screenshots, documentation, and access to the live application.

Planned modules

  • Normality testing and distribution fitting
  • Capability analysis: Cp, Cpk, Pp, Ppk
  • SPC charts and process diagnostics
  • Tensor SPC demonstration workflow
  • Defect, scrap, and quality analytics
  • Excel and PDF report exports

Application access

Live app access coming later

A live version of the Stat-Forge application will be linked here when it is ready for public use. Until then, the research monograph and educational pages describe the methods and direction of the platform.

Ask about the project