How to Leverage IoT for Efficiency, Reliability, and GxP Compliance
Why Connectivity Matters
- Reliable wireless options for smart manufacturing/IoT enable high-fidelity data flows at scale1
- Connected operations can unlock ~30% productivity gains through fewer stoppages and better orchestration2
- GLP/GMP frameworks set expectations for data integrity and auditability in labs and manufacturing3,4
What’s Inside
- Predictive maintenance basics and machine-learning approaches to trend/anomaly detection5
- Network design trade-offs: when to favor Wi-Fi/cellular vs LPWAN and planning for 5G-ready capacity in regulated labs6
- Integration patterns for sending equipment + environmental data into LIMS/ELN/EBR/CMMS with audit trails aligned to GLP/GMP3,4
- Validation and change-control considerations for regulated environments4
Proof Points
- Predictive approaches reduce unplanned downtime and extend equipment life5
- Standard-aligned records support audit readiness across sites3,4
- Modern network capabilities support reliable, compliant data throughput in labs and factories1,6
References
- Kang, C.C., Lee, T., Lim, W., et al. (2023). Opportunities and challenges of 5G network technology toward precision medicine. Clinical and Translational Science.
- Noor-A-Rahim, M., John, J., Firyaguna, F., et al. (2022). Wireless Communications for Smart Manufacturing and Industrial IoT: Existing Technologies, 5G and Beyond. Sensors.
- Frost, T., Gnamm, J., Silberstein, S., et al. (2024). The Factory of the Future Could Boost Productivity by 30% or More. Bain & Company.
- U.S. Food and Drug Administration. (2022). Good Laboratory Practice (GLP) 101 – Regulations and Basic Studies.
- European Medicines Agency. (2024). Good manufacturing practice.
- Carvalho, T.P., Soares, F., Vita, R., et al. (2019). A systematic literature review of machine learning methods applied to predictive maintenance. Computers & Industrial Engineering.
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