The Biggest Bottleneck in Smart Factories: Data Fragmentation
Many SME manufacturers have adopted various systems like ERP, MES, SCADA, and PLC, but each system operates independently, leaving data fragmented. PLC data stays in SCADA, order information exists only in ERP, and quality data is managed separately in Excel.
In this data silo state, real-time decision-making is impossible, and the original purpose of smart factories - total optimization - cannot be achieved.
Three Data Integration Architecture Models
1. Hub and Spoke
2. Data Lake
3. Event-Driven
SME Data Integration Practical Guide
Step 1: Status Assessment (1-2 weeks)
Document current systems, data formats, and update frequencies. Identifying manual connection points between systems helps prioritize integration.
Step 2: Define Integration Scope (1 week)
Don't try to integrate everything at once. Start with ERP-MES integration. Connecting order-production-inventory flow provides the most noticeable impact.
Step 3: Adopt Standard Protocols
Step 4: Gradual Expansion
Once initial integration stabilizes, gradually expand to SCADA, QMS, WMS, and other systems.
Common Data Integration Mistakes
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