Smart Manufacturing Dashboard and OEE Monitoring
Smart Manufacturing Dashboard and OEE Monitoring
Presents real-time machine status, production counts, downtime root causes, quality metrics, and agreed Overall Equipment Effectiveness indicators.
Quick Service Summary
- Parent Domain: Industrial IoT Solutions
- Execution Model: Custom Engineering Scope
- Verification: Bench & Functional Testing
- Delivery Deliverables: Schematics, Code & Documentation
The Engineering Challenge
Plant leadership lacks real-time visibility into machine downtime, true cycle times, and scrap rates, relying on manual paper logs compiled days after production.
The Desired Outcome
Live centralized manufacturing intelligence displaying agreed OEE (Availability, Performance, Quality), automated shift reports, and granular downtime categorization across all lines.
Core Technical Capabilities
Application-specific engineering focused on reliability, performance, and maintainability.
Real-Time Machine Status: live operating states (running, idle, alarm, offline)
Machine-Level Intelligence: cycle time distribution, energy per unit, shift statistics
Breakdown History: Pareto charts of root-cause stoppages and MTBF/MTTR tracking
Planned Downtime: changeover tracking, preventive maintenance, mold-change benchmarks
Rejection & Quality Analysis: defect classification and machine/mold/operator correlation
Production History: units, shots, and cycles compared against target quotas
Mold Change Analytics: setup duration, sequence compliance, and delay logs
Machine Runtime Analysis: Gantt-style timeline visualization of operational states
Energy Monitoring: correlation of kWh consumption with production volume
Administration & Configuration: role-based access, machine master data, and shifts
Technical Approach
We connect to machine PLCs or non-invasive edge sensors to acquire true cycle pulses and alarm states. Data is published securely to a central database where calculation engines derive OEE based on customer-approved production formulas.
Required Customer Inputs
Machine controller models, available electrical signals, shift schedule definitions, standard ideal cycle times, and downtime reason codes.
Project Deliverables
- Configured smart manufacturing web dashboard with 10 operational modules
- Edge gateway software and communication mapping to machine controllers
- Agreed OEE calculation logic specification and downtime reason tree
- Automated PDF/Excel shift report dispatch setup and role-based user management
Scope Boundaries & Safety Safeguards
OEE formulas and good/reject count definitions depend on accurate source signals and operator inputs; OEE percentage values cannot be guaranteed by software alone. TC Smart Technology adheres to transparent engineering standards: solutions do not bypass machine safety interlocks, and all AI features retain human-in-the-loop governance.
From Requirement to Deployment
Standardized stages ensuring every milestone is verified against agreed criteria.
Requirement Analysis
Define functionality, inputs, operational boundaries & success criteria.
Solution Architecture
Engineer schematic, firmware, protocol mapping or AI workflow design.
Design & Development
Build approved deliverables in iterative, reviewable milestones.
Integration & Testing
Verify edge cases, signal fidelity, fault handling & compliance checks.
Deployment & Handover
Deliver code, documentation, commissioning assistance & post-release support.
Technical & Integration FAQs
Answers to common feasibility, architecture, and deployment questions.
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Read Solution SpecsDiscuss Your Smart Manufacturing Dashboard and OEE Monitoring Requirement
Share your product idea, equipment parameters, or operational workflow with our engineering team. We will help you identify a practical, robust technical architecture.