Case Studies > GainSeeker Suite automates CMM data collection - reduces data collection time by 81%

GainSeeker Suite automates CMM data collection - reduces data collection time by 81%

Company Size
1,000+
Region
  • America
Country
  • United States
Product
  • GainSeeker Suite
Tech Stack
  • Statistical Process Control (SPC) Software
  • Real-time Data Acquisition
  • Analytics Software
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Cost Savings
  • Customer Satisfaction
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Functional Applications - Manufacturing Execution Systems (MES)
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Consumer Goods
Applicable Functions
  • Process Manufacturing
  • Quality Assurance
Use Cases
  • Machine Condition Monitoring
  • Predictive Maintenance
  • Process Control & Optimization
Services
  • Software Design & Engineering Services
  • System Integration
About The Customer
Hertzler Systems has been a leader in Statistical Process Control (SPC) Software and Six Sigma for over twenty-five years. They provide the leading real-time data acquisition and analytics SPC software, the GainSeeker Suite. Hertzler Systems serves a diverse customer base, including BAE Systems, Crown Audio, McCormick & Company, Inc., Hormel Foods Corporation, Snyders of Hanover, Titleist & Footjoy, IDEX Corporation, and TaylorMade-Adidas Golf Worldwide. Their software and services enable clients to connect, collect, analyze, and visualize data, building a data infrastructure for making data-driven decisions. These capabilities help clients improve throughput and yield, improve cycle times, reduce costs and errors, and increase profitability.
The Challenge
The Quality Manager at a privately-held injection molding company faced a critical issue: freeing staff from non-value-added data manipulation activities. The quality team inspected samples of complex products using a Coordinate Measuring Machine (CMM) and manually entered data into a statistics package for analysis. This process was time-consuming and error-prone, requiring a half-time job on each of two shifts. The company leadership aimed to redirect staff from these tasks to more productive activities by automating the data collection process, thereby reducing measurement errors and freeing up staff for more valuable work.
The Solution
Hertzler Systems set up a process to automatically extract and analyze critical inspection data directly from the CMM. The system automatically evaluates new data for stability and notifies key personnel of any out-of-control situations. This automation significantly reduced the time required to collect and analyze data, from four hours per shift to less than 45 minutes, an 81% reduction. The Quality Manager believes this time will decrease even further as users become more familiar with the process. The automation also eliminated typographical errors common in the manual process, increasing the reliability of the data. As a result, users are more confident in making decisions and taking actions based on the data.
Operational Impact
  • The time required to collect and analyze data was reduced from four hours per shift to less than 45 minutes.
  • The reduction in data collection time is equivalent to eliminating two half-time positions.
  • Staff were reassigned to more productive activities, increasing overall productivity.
  • Automating data acquisition eliminated typographical errors, increasing data reliability.
  • Users gained more confidence in making decisions and taking actions based on accurate data.
Quantitative Benefit
  • Data collection time reduced by 81%.

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