white paper

Industrial edge in the food and beverage industry

Edge computing literally means moving parts of the cloud closer to the sensors – where the data is actually generated.

Siemens Industrial Edge represents a cutting-edge solution for the food and beverage industry's growing data processing needs. As IoT adoption increases data generation in production environments, this technology offers an alternative to pure cloud computing by enabling data processing closer to the source. The solution combines edge devices, apps and management systems to deliver three key benefits: enhanced processing speed with reduced latency, real-time production optimization with predictive maintenance capabilities, and robust security with seamless IT integration.

The implementation follows a structured five-step approach, from connecting systems and sensors to making continuous optimizations. This comprehensive solution allows food and beverage manufacturers to process data locally, make faster decisions, and maintain high security standards while reducing network load. Looking ahead, the technology is positioned to revolutionize manufacturing efficiency, particularly through AI integration and real-time decision-making capabilities, making it a vital tool for modern food and beverage operations.

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Who should read this?

  • Food and beverage manufacturers, especially those dealing with outdated production facilities and limited investment funds
  • Plant managers and automation engineers in the F&B industry
  • IT decision-makers in food and beverage companies
  • Technology implementers looking to modernize their production facilities

What will you learn?

  • How to handle the increasing volume of data generated in production
  • Ways to overcome limitations of traditional cloud computing, such as bandwidth constraints and latency issues
  • Faster detection of production anomalies and immediate intervention capabilities
  • Enhanced security for business-critical data that must remain on-site
  • Real-time monitoring and optimization of production processes
  • Reduced plant downtime and energy consumption
  • Understanding of Siemens' Industrial Edge solution, which combines hardware, software and cloud technologies
  • How to integrate edge computing with existing systems without disrupting current operations
  • Ways to implement AI and machine learning capabilities closer to production
  • Practical examples from the industry, including case studies like the Munich Oktoberfest beer distribution system

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