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Digital Process Management System
Optimizing maintenance operations and data management in the food and beverage industry requires automation, accuracy, and seamless system integration
Challenges
Manual maintenance data entry in SAP is time-consuming and prone to errors, leading to inefficiencies. Inaccurate data impacts planning, causing delays and disruptions. The lack of direct ERP integration further complicates data exchange and decision-making.
Solution
Automated Data Extraction & Updates – RPA bots automatically extract maintenance data at regular intervals and update the ERP system, eliminating the need for manual input.
Seamless ERP Integration – The RPA-based integration bridges the gap between disconnected systems, ensuring smooth data exchange without requiring a direct interface.
Real-Time Synchronization – Data is fetched, processed, and updated in real time, providing accurate and up-to-date maintenance records
Deployed Technologies & Integration Approach
Sensors – Enable real-time industrial data collection for accurate monitoring.
DAQ System – Facilitates data acquisition and processing for actionable insights.
Edge Device – Performs localized computing & analysis, reducing latency and dependency on cloud processing.
Secured Cloud / On-Premises – Ensures safe and scalable data storage & access based on business needs.
Tangible Results & Business Outcome
18% Increase in Production Efficiency: Real-time monitoring reduced bottlenecks and improved line balancing.
22% Reduction in Waste: Data-Driven insights helped optimize raw material usage and cut down product rejections.
Consistent Product Quality: Automated alerts ensured adherence to quality parameters across all batches.
Faster Compliance Reporting: Digital traceability and audit-ready logs simplified food safety and regulatory compliance.