Production/Supply Chain/Quality/Equipment · Industry 4.0 · Cost Reduction

Manufacturing Solutions are designed for discrete/process manufacturing enterprises "needing to break production bottlenecks, align with Industry 4.0, and achieve end-to-end digitization". Unlike single-module solutions, we offer full-lifecycle services: MES (Manufacturing Execution System) → supply chain collaboration → quality management → TPM (Total Productive Maintenance). Integrating global industrial equipment (Siemens PLC, Fanuc robots) and cloud platforms (AWS IoT, Azure Digital Twins), we enable production transparency, quality traceability, and predictive maintenance via data connectivity (MES-ERP integration). Helping enterprises boost 产能 by 20%, reduce defect rates by 30%, and cut maintenance costs by 25%, it meets global standards (ISO 9001, IATF 16949).

1. Smart MES Solution

• Production Transparency: Build shop-floor MES to real-time collect data (equipment status, work order progress, material consumption) and display via visual dashboards (Andon system), solving "unclear production progress, frequent delays";
• Flexible Production Support: Adapt to high-mix low-volume production (e.g., custom auto parts) with fast process parameter adjustments (e.g., machine precision tuning) and order change responses (work order updates within 30 mins);
• Global Equipment Integration: Connect international industrial equipment (Siemens Sinumerik, ABB robots) via OPC UA protocol, ensuring compatibility with legacy systems and avoiding "equipment-data silos".

2. Supply Chain Collaboration Solution

• End-to-End Visibility: Connect "supplier-factory-customer" data to enable auto-sync of procurement needs (MES material shortages trigger POs), real-time inventory sharing (raw material shortage alerts), and logistics tracking (component shipment visualization), solving "supply chain disconnect, inventory overstock";
• Cloud-Native Integration: Integrate with global ERP (SAP S/4HANA), WMS (Blue Yonder), and TMS (Kinaxis) for seamless data flow (ERP POs auto-sync to WMS for receiving), eliminating "manual data entry";
• Demand Forecasting: Build AI-driven models (e.g., "quarterly automotive parts demand") using historical data and order trends to guide supplier stocking, reducing stockouts by 15%.

3. Quality & Equipment Management Solution

• Full-Lifecycle Quality Traceability: Record critical quality data (component inspection parameters, finished goods sampling results) from raw material inbound to finished goods outbound, enabling "scan-to-trace" (product history retrieved in 10 secs) to solve "root-cause identification failures";
• Predictive Equipment Maintenance: Deploy industrial sensors (vibration, temperature) to monitor equipment health, build failure prediction models (e.g., "machine spindle fault alerts 7 days early"), cutting unplanned downtime by 40%;
• Global Compliance Reporting: Auto-generate quality reports (ISO 9001) and equipment logs to meet industry regulations (IATF 16949 for automotive, ISO 13485 for medical devices).

4. Target Scenarios

• 1. Discrete Manufacturing (Auto Parts): E.g., "Digital transformation for a European auto parts maker" — MES + supply chain collaboration boosts by 22%, reduces defect rates from 5% to 3.5%;
• 2. Process Manufacturing (Pharmaceuticals): E.g., "Smart upgrade for a US pharma plant" — Predictive maintenance cuts unplanned downtime from 8hrs/month to 3hrs, lowering maintenance costs by 28%;
• 3. Heavy Machinery Manufacturing: E.g., "Global integration for a German machinery firm" — Connect SAP S/4HANA with Fanuc robots via Azure IoT Hub, achieving end-to-end data visibility and improving production efficiency by 18%;
• 4. Electronics Manufacturing (Semiconductors): E.g., "Quality traceability for a Korean semiconductor plant" — Scan-to-trace system reduces quality issue investigation time from 2hrs to 10mins, meeting ISO 13485 standards.