Pepsi Hungary uses an SPC system based on STATISTICA Enterprise
Company Size
1,000+
Region
- Europe
Country
- Hungary
Product
- STATISTICA Enterprise
Tech Stack
- SQL Database
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Customer Satisfaction
- Environmental Impact Reduction
- Productivity Improvements
- Waste Reduction
Technology Category
- Analytics & Modeling - Predictive Analytics
Applicable Industries
- Food & Beverage
Applicable Functions
- Quality Assurance
Use Cases
- Predictive Quality Analytics
- Process Control & Optimization
Services
- System Integration
- Training
About The Customer
Pepsi Hungary, a subsidiary of PepsiCo, produces various brands of carbonated beverages, including Pepsi, 7Up, and Mirinda. The company is wholly owned by PepsiCo following the merger of PAS, PBG, and PepsiCo. Pepsi Hungary is committed to maintaining high-quality standards in its production processes and ensuring sustainability by reducing waste and carbon footprint. The company sought to implement a new SPC system to enhance its quality monitoring and control capabilities, following successful implementations at other Pepsi plants in Poland and the Czech Republic.
The Challenge
Mr. József Sinkó, quality assurance & regulatory manager at Pepsi Hungary, highlighted the need for an effective SPC system to ensure strict quality requirements in production processes. The previous SPC system was cumbersome and time-consuming, lacking the necessary tools for efficient data analysis over extended periods or multiple parameters. Pepsi Hungary required a system that could monitor and control product quality parameters, recognize trends, and identify error sources. Additionally, the company aimed to monitor machine capability, eliminate waste, and reduce the plant's carbon footprint.
The Solution
Pepsi Hungary implemented a customized SPC system based on STATISTICA Enterprise, tailored to meet local specific requirements. Unlike the systems at the Polish and Czech Pepsi plants, the Hungarian implementation connected the STATISTICA Enterprise SPC system to a third-party data collection system that had been in use for many years. The new system performs statistical analyses and generates analysis reports from data stored in the SQL database of the third-party system. The SPC system measures various quality parameters during production, such as sugar concentration, carbon dioxide concentration, acidity, volume, and bottle cap tightness. These parameters are calculated using different specifications for different products. The system provides up-to-date, detailed reports that make quality assurance more effective and allows for easy calculation of process capability indices for any selected period.
Operational Impact
Quantitative Benefit
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