GainSeeker Suite automates CMM data collection - reduces data collection time by 81%
公司规模
1,000+
地区
- America
国家
- United States
产品
- GainSeeker Suite
技术栈
- Statistical Process Control (SPC) Software
- Real-time Data Acquisition
- Analytics Software
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
技术
- 分析与建模 - 预测分析
- 功能应用 - 制造执行系统 (MES)
- 功能应用 - 远程监控系统
适用行业
- 消费品
适用功能
- 流程制造
- 质量保证
用例
- 机器状态监测
- 预测性维护
- 过程控制与优化
服务
- 软件设计与工程服务
- 系统集成
关于客户
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.
挑战
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.
解决方案
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.
运营影响
数量效益
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