Introduction
With over 10 years of QA/QC experience working for Japanese manufacturing firms, I’ve learned firsthand how critical quality assurance and process control are to achieving operational excellence.
Japanese manufacturing is an excellent environment to work in—it places strong emphasis on quality, training workers, and standardizing processes. Throughout my career, I’ve worked across Assembly, Automotive, Plastic Injection, and Electroplating industries, which gave me a deep appreciation of how data shapes both planning and execution on the shop floor.
This experience inspired me to design and build the QuAxium Dashboard App, a smart desktop tool that monitors dimensional measurement data, provides live monitoring, SPC analysis, and historical insights—all in one interface.
Technologies Used and Tools
The QuAxium Dashboard was developed using:
Python – the backbone programming language
PySide6 – for building the graphical user interface (GUI)
Matplotlib – for charts and visualizations
NumPy – for numerical and data handling operations
PyCharm – as the integrated development environment (IDE)
Dashboard Parts and Its Functions
At the core, the company vision is designing and building custom measurement jigs along with tailored software like this dashboard. Together, they ensure that every measurement is accurate and reliable.
Before any measurement begins, the part must be properly seated on the jig. If it’s not, the system will not measure. To help with this, there’s a Readiness Test button, which verifies all sensors are aligned and ready before starting.
Key Tabs and Features
Operate Tab
Displays real-time measurement data: hole diameters, roundness, true position, center-to-center distance, angle, and offset.
Provides immediate pass/fail indicators for each feature and the overall part.
Includes a Last 25 panel (recent records in table form) and a Charts panel (trend lines for quick visual insight).
SPC Tab
Dedicated to Statistical Process Control.
Four sub-tabs: Hole 1, Hole 2, Center-to-Center, and Angle.
Displays control charts and process statistics for quality engineers to monitor variation and stability.
History Tab
Provides long-term tracking of dimensional data.
Allows supervisors and engineers to analyze trends, categorize health states, and plan predictive maintenance.
Offers insight into both efficiency and recurring issues, helping reduce downtime.
What Problem It Solves
The QuAxium Dashboard solves a common challenge in manufacturing: detecting measurement drift and quality issues early.
Instead of relying on scattered spreadsheets or manual checks, the app integrates:
| Live feedback for operators |
| SPC charts for quality control |
| Historical trends for managers |
This means quicker decisions, fewer rejects, and better long-term process stability.
Lessons Learned
| The importance of planning the database structure first, so live data and historical trends integrate smoothly. |
| The value of UI/UX design in manufacturing apps—operators need simple, clear feedback. |
| Balancing real-time speed with statistical accuracy when building dashboards. |
| Packaging desktop apps (with PyInstaller) taught me how to manage assets, fonts, and database paths cleanly. |
Download the .EXE and Try It
You can download the executable and explore the app yourself:
See it in Action
Conclusion
The QuAxium Dashboard is more than just software—it’s the result of my journey in quality assurance and software development. By combining my manufacturing background with modern programming tools, I created an app that supports operators, engineers, and managers alike.
This is just one step in my ongoing mission to bring digital solutions into manufacturing—bridging my QA/QC experience with data-driven software engineering.
