Next Gen Quality Analytics

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Unlike traditional inspection, which detects defects after production, the modern approach to minimize defects is data driven and proactive monitoring and control of the manufacturing process itself. Enter statistical process control (SPC).

Manufacturing decisions are only as good as the data behind them. 

Overall Equipment Effectiveness is arguably the #1 key performance indicator on manufacturing floors. 

In manufacturing, it’s tempting to assume that more machines mean more parts and higher throughput.

Quality professionals regularly prepare documentation for regulators, customers, and internal auditors. 

Twenty percent of every dollar spent in manufacturing is wasted, adding up to $8 trillion annually and contributing to 10% of global greenhouse gas emissions. 

When I first spoke with this customer, a global manufacturer producing everything from everyday mixers to top-shelf spirits, they had a clear goal: tighten their filling process to eliminate MAV (Maximum Allowable Variation) violations and reduce overfill waste, without compromising quality.

The following is a fictional story based on real challenges and use cases from quality professionals in manufacturing. While the author is not a real person, his experience reflects what many engineers face—and how Prolink helps solve it. 

With clear data tools, operators can leverage insights to improve daily operations and enhance stability.

Spreadsheets can hinder data interpretation. Visual tools can enhance data presentation and help managers assess if team members understand common issues, can track performance trends, and have tools for productive discussions.