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Professional web development, software development, social media management, graphic design, SEO optimization, and AI-powered product design services.
© 2025 TeboTronic. All rights reserved.
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Professional web development, software development, social media management, graphic design, SEO optimization, and AI-powered product design services.
© 2025 TeboTronic. All rights reserved.
Smart factory solutions for manufacturers. Increase efficiency with IoT sensors, predictive maintenance, and digital twins.
We don't just fix problems; we transform your entire operational landscape. See how we turn your biggest industry challenges into your strongest competitive advantages.
Unplanned equipment downtime costs manufacturers $50B annually with reactive maintenance unable to prevent failures
Limited production visibility prevents real-time decision making and optimization causing inefficiencies and delays
Manual quality inspection misses 15% of defects leading to recalls, rework costs, and damaged reputation
Fragmented systems for production, inventory, maintenance, and quality prevent data-driven optimization
Inefficient supply chain coordination with suppliers causes stockouts, excess inventory, and production delays
Lack of predictive analytics for demand forecasting, capacity planning, and resource optimization wastes resources
IoT-enabled predictive maintenance using machine learning to predict equipment failures 2-4 weeks in advance reducing downtime by 40% and maintenance costs by 25%
Real-time production monitoring with IoT sensors tracking machine status, cycle times, and OEE (Overall Equipment Effectiveness) increasing productivity by 30%
AI-powered quality control with computer vision inspecting products at production speed detecting 99.5% of defects reducing rework by 60%
Manufacturing Execution System (MES) integrating production planning, scheduling, inventory, and quality management providing unified factory visibility
Digital twin technology creating virtual factory replicas for simulation, optimization, and predictive analysis reducing trial-and-error costs by 70%
Supply chain control tower with real-time visibility, demand forecasting, and supplier collaboration reducing inventory costs by 35% and stockouts by 45%
Tailored digital solutions designed specifically for the unique requirements of the Manufacturing & Industrial Technology Solutions sector.
IoT sensor networks and machine learning platforms predicting equipment failures, optimizing maintenance schedules, and reducing unplanned downtime.
Real-time production monitoring systems with IoT integration, machine connectivity, and OEE tracking providing complete factory visibility.
Computer vision and machine learning systems automating quality inspection, defect detection, and traceability at production speed.
Comprehensive MES platforms managing production planning, scheduling, inventory, work orders, and quality for unified factory operations.
Virtual factory replicas enabling simulation, optimization, and predictive analysis before implementing changes on production floor.
End-to-end supply chain visibility platforms with demand forecasting, inventory optimization, and supplier collaboration.
Our comprehensive, results-driven methodology combines deep industry expertise with agile development practices, ensuring seamless project execution from initial discovery through deployment and beyond.
Understand your manufacturing operations (discrete/process, production volumes, equipment), current systems (ERP, SCADA, PLCs), pain points, and objectives. Assess factory floor with IoT readiness, machine connectivity, and data availability. Define technical requirements for smart factory systems.
Deliverables
Design IoT architecture with sensor networks, edge computing, and cloud platforms. Plan machine connectivity (OPC UA, MQTT, Modbus) for legacy equipment. Design data pipelines, analytics platforms, and user interfaces. Plan integration with existing ERP, SCADA, and MES systems.
Deliverables
Deploy IoT sensors and edge devices. Build machine connectivity adapters and data pipelines. Develop predictive maintenance models, quality control systems, or MES platform. Integrate with ERP (SAP, Oracle) and industrial systems. Train AI models on historical production data.
Deliverables
Deploy smart factory systems with production rollout and user training. Monitor KPIs (OEE, MTTR, first-pass yield, downtime). Continuously improve predictive models with production data. Optimize based on insights and expand to additional production lines.
Deliverables
We leverage the most advanced frameworks and platforms to ensure your solution is scalable, secure, and future-proof.
Our solutions are deployed on a distributed global network, ensuring low latency and high availability for your users, no matter where they are in the world.
Everything you need to know about our manufacturing & industrial technology solutions solutions and how we drive digital excellence.
Predictive maintenance implementation typically takes 5-8 months for a production line including IoT sensor deployment (4-6 weeks), data collection and preprocessing (8-12 weeks), machine learning model development and training (8-10 weeks), integration with CMMS (4 weeks), and production rollout with monitoring (4-6 weeks). Pilot projects with 10-15 machines can launch in 4 months. ROI typically achieved within 12-18 months through downtime reduction.
Smart factory IoT platforms vary significantly based on factory size and scope. A production line monitoring system with 20-30 machines costs $120K-$200K including IoT sensors, edge computing, cloud platform, real-time dashboards, and basic analytics. Comprehensive smart factory solutions with predictive maintenance, quality control, and MES integration for 100+ machines cost $400K-$800K. We provide ROI analysis and phased implementation options.
Yes, we specialize in ERP integration for manufacturing including SAP (SAP MII, SAP ME, SAP S/4HANA), Oracle Manufacturing Cloud, Microsoft Dynamics 365, and custom ERPs. Our MES and IoT platforms integrate bidirectionally exchanging production orders, inventory levels, quality data, and production actuals. We use standard APIs, OData, RFC, and custom integration layers ensuring seamless data flow.
Our AI-powered computer vision quality inspection systems achieve 99.5% defect detection accuracy compared to 85-90% with manual human inspection. Deep learning models trained on 100K+ defect images detect subtle issues humans miss (micro-cracks, soldering defects, dimensional errors). Inspection speed increases 10-100x enabling real-time inspection vs batch sampling. Typical implementations reduce false positives by 80% and false negatives by 95%.
Typical Industry 4.0 ROI includes: 40-50% unplanned downtime reduction saving $500K-$2M annually, 20-30% productivity increase through OEE improvement, 25-35% maintenance cost reduction with predictive strategies, 30-60% quality improvement reducing rework and scrap, 15-25% inventory reduction with optimized planning. Most manufacturers achieve positive ROI within 12-24 months. We provide detailed ROI analysis during discovery.
Yes, we connect legacy machines using industrial gateways and protocol converters. Our solutions support OPC UA, Modbus, PROFINET, EtherNet/IP, and serial protocols common in older equipment. For machines without digital interfaces, we use retrofit sensors (vibration, current, temperature) with edge computing providing connectivity. We've successfully connected 30+ year old CNC machines, PLCs, and industrial equipment.
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