Connect factory insight with operational decisions
The Intelligent Manufacturing Center of Excellence examines how IoT, AI and connected infrastructure can support industrial operations. It brings technology and manufacturing perspectives together around the realities of production, maintenance and continuous improvement.
Overview
The Intelligent Manufacturing CoE brings plant teams, researchers and providers together to apply IoT, AI and IT/OT integration without disrupting validated operations. Practitioner-led patterns aim to lift OEE, quality and safety while reducing scrap, changeover time and energy intensity.
Who This Serves
Plant and maintenance leaders; controls, MES and edge engineers; quality, safety and compliance teams; data and product specialists; executives; OEMs, integrators and academia.
Members learn and review; contributors share cases and artifacts; workstream leads deliver results; chairs steer direction and quality.
Priorities and Workstreams
Turn useful signals into dependable plant responses with safety and rollback built in.
- Brownfield integration: align ERP, MES and SCADA/PLC data, recipes and work-center KPIs.
- Performance: improve OEE, quality/traceability, changeovers and predictive maintenance.
- Simulation and vision: test cell/line changes with digital twins; use SPC, sensor fusion and genealogy to reduce defects.
- People and robotics: connected frontline work, cobots and safe orchestration.
- Energy and governance: lower energy per unit with audit evidence, human approval and repeatable playbooks.
Emerging interests include applied AI, OT security, 5G connectivity and supply-chain innovation.
Technical Approach
PLCs, sensors, robots and cameras connect through industrial Ethernet/TSN, Wi-Fi or 5G to an offline-capable edge runtime. Streaming data and governed models feed MES, CMMS, QMS, ERP and other applications. Segmentation, signed artifacts, human approval, rollback and tests protect closed-loop actions.
Programs and Outputs
Workstreams cover brownfield retrofit kits, vision quality, predictive maintenance, SMED changeovers, SPC/genealogy, robot safety and energy-aware scheduling. Members share roadmaps and lessons through monthly working sessions and IoT Slam-aligned deep dives.
Outputs include reference architectures and BOM guidance; blueprint cards; validated runbooks; evaluation suites for quality, throughput, latency, safety and cost; audit evidence packs; and masterclasses on ISA-95/88, edge vision, SPC, PdM, SMED and governance.
Get Involved
Bring a production challenge, integration lesson or deployment experience. Join the IMIoTCoE and choose a workstream. To sponsor one or propose a pilot, email sponsors@iotcommunity.net.