Device Data Decoder

Need for this
dcube

Pharmaceutical manufacturing operations are increasingly reliant on accurate and timely data from shop floor devices to ensure product quality, regulatory compliance, and operational efficiency. However, traditional methods of capturing this data involve manual entry, which is error-prone, time-consuming, and non-compliant with modern data integrity expectations. In manufacturing, capturing accurate, real-time data from various shop floor devices (balances, sensors, RFID readers, etc.) is crucial for ensuring: 

Data integrity according to ALCOA+ principles
Reduced manual errors in transcription and entry
Seamless compliance with 21 CFR Part 11 and other regulatory standards
Real-time decision making based on device data
Faster batch execution without delays in data capture
Benefits of Implementing DCube

DCube acts as a middleware engine that connects shop floor devices directly with the ProcessXE MES layer, offering: 

Real-time device data capture into MES workflows

Supports multiple protocols: RS232, TCP/IP etc.

Any device integration across various instruments, equipment, sensors and signals etc.

Eliminates manual data entry and enhances operator efficiency

Enables data validation at source level and flags out-of-spec results

Reduces reporting time per batch by automating readings

Centralized logging for audit and traceability
Process Diagram
DCube with ProcessXE ®
Plug & Play Integration
Devices are configured with DCube without additional drivers or coding.
Auto-Decode and Map
Raw device data is decoded and mapped into defined MES data fields.
Rule-based Validation
DCube applies rules (e.g. expected range, material match, specification limits etc.) to ensure only valid data is accepted.
Audit Trail & Timestamping
Every data point captured is tagged with timestamp, user ID, and device ID ensuring full traceability.
Device Monitoring
Health check signals and connection status of devices traceability.
Results of Implementation

Reduced data entry errors up to 98%

Operator efficiency improved by 50%

Batch execution time reduced up to 35%

Overall equipment effectiveness increased by 75%

Review and Approval improved by 70%