实例探究 > Pepsi Hungary uses an SPC system based on STATISTICA Enterprise

Pepsi Hungary uses an SPC system based on STATISTICA Enterprise

公司规模
1,000+
地区
  • Europe
国家
  • Hungary
产品
  • STATISTICA Enterprise
技术栈
  • SQL Database
实施规模
  • Enterprise-wide Deployment
影响指标
  • Customer Satisfaction
  • Environmental Impact Reduction
  • Productivity Improvements
  • Waste Reduction
技术
  • 分析与建模 - 预测分析
适用行业
  • 食品与饮料
适用功能
  • 质量保证
用例
  • 质量预测分析
  • 过程控制与优化
服务
  • 系统集成
  • 培训
关于客户
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.
挑战
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.
解决方案
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.
运营影响
  • The new SPC system provides customized reports that offer a general survey of production quality and identify areas needing improvement.
  • It offers flexible access to historical production data, enabling exhaustive individual analyses using comprehensive analysis tools.
  • The system supports daily decision-making for quality managers by providing detailed and up-to-date reports.
  • It enhances the ability to monitor and control various quality parameters, ensuring high product quality and process capability.
  • The system contributes to sustainability efforts by helping to eliminate waste and reduce the plant's carbon footprint.
数量效益
  • The new SPC system was introduced in January 2010.
  • The system allows for quick calculation of process capability indices for any selected period, such as a day or a week.

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