Manufacturing Industry

Smart Manufacturing Upgrade
How can production lines move from a black box to real-time control?

Centered on equipment connectivity, production scheduling, and quality traceability, we help manufacturing enterprises build an end-to-end digital production system.

  • Industrial Internet
  • Production Management
  • Quality Traceability
Smart Manufacturing Upgrade

Industry Trends

Manufacturing digitalization is moving from partial automation to full-chain collaboration, with OEE, delivery lead times, and quality consistency becoming core objectives.

Industrial Data CollectionScheduling OptimizationFull-process Traceability
Manufacturing digitalization is moving from partial automation to full-chain collaboration, with OEE, delivery lead times, and quality consistency becoming core objectives.

Core Scenarios

Core Scenarios

01

Equipment Networking and Status Monitoring

Business Pain Points

Equipment status is not visible; downtime and anomalies are difficult to detect in time.

Our Solution

Build an equipment data acquisition platform and real-time monitoring dashboard, and unify status and alarm mechanisms.

Business Outcomes

Equipment anomaly response time improved by 40%.

40%

Anomaly Response Improvement

02

Production Scheduling Optimization

Business Pain Points

Plans and execution are disconnected; rush orders and line changes lead to unstable delivery.

Our Solution

Introduce APS+MES collaborative scheduling to dynamically schedule production based on capacity and priority.

Business Outcomes

Production delivery cycle shortened by 20%.

20%

Delivery Cycle Shortened

03

Closed-loop quality traceability

Business Pain Points

Quality inspection and batch data are fragmented, making issue identification and recalls costly.

Our Solution

Establish batch-level traceability links and a quality analysis model to support rapid identification.

Business Outcomes

Quality issue identification time decreased by 55%.

55%

Reduction in identification time

Business Value

Business Value

Through deep integration of professional capabilities and innovative technologies, create quantifiable and sustainable business value for customers, help enterprises optimize operational efficiency, improve service quality, reduce operating costs, and drive long-term business growth.

Business Value
  • 15%

    OEE improvement

    Equipment connectivity and production takt optimization improve overall equipment effectiveness and production line output.

    • OEE increased by 15%
    • Equipment utilization increased by 12%
    • Production line output increased by 10%
  • 20%

    Shortened delivery cycle

    Integrated planning and execution collaboration shortens the overall cycle from order to delivery.

    • Delivery cycle shortened by 20%
    • Scheduling adjustment response speed increased by 35%
    • On-time delivery rate improved by 18%
  • 55%

    Faster issue identification

    Real-time production data collection and root cause analysis accelerate anomaly identification and production recovery.

    • Issue localization accelerated by 55%
    • Failure recovery time reduced by 40%
    • Recurring issues reduced by 30%
  • 30%

    Reduced downtime losses

    Predictive maintenance and downtime management reduce capacity losses caused by unplanned downtime.

    • Downtime losses reduced by 30%
    • Unplanned downtime reduced by 25%
    • Maintenance costs reduced by 15%

Customer-centric and value-driven, continuously create and deliver measurable business outcomes to help customers win the future in competition.

FAQs

Yes, through industrial gateways and protocol adaptation to achieve gradual access.

Ready to move forward with your industry digitalization project?

A consultant will follow up within 48 hours after you submit your requirements, and we will arrange an industry workshop and scope assessment.