數位工廠的製造業智慧

協同合作並即時掌握情境,藉此加速創新

隨著雲端、機器學習、邊緣運算和工業物聯網 (IIoT) 不斷進步,可擴展工廠解決方案也變得更加聰明,將改變價值鏈、重新定義客戶體驗,並創造產生全新收益流的商機。在小型工廠中,所有相關數據均彼此連接、彙總一處,工廠也會據此主動行事。感應器、裝置、設備、人員與製程,均屬相互連接的同一生態系統。這樣的製造業智慧可將業務數位化、大幅改善成本、提高品質、加速創新,並重新定義客戶體驗,為決策制定者提供極具競爭力的優勢。

Hemlock Semiconductor saves over $1 million

Hemlock Semiconductor Manufactures Success with End-to-End Analytics - Customer Video
Customer: Hemlock Semiconductor

Connected Intelligence

For Manufacturing

  • Connected Factory
  • Product Quality
  • Process Optimization
  • Asset Performance
  • Resilient Supply Chain
Connected Factory
Increase Productivity

For a 360° view of factory operations, connect and integrate data from machines, systems, process historians, and operational data stores. With hundreds of protocols, connecting and unifying data across these "things" can be daunting. But with cloud, integration, data, and analytics, you can easily connect, integrate, and unify your data to gain a bird's eye view across global operations.

Product Quality
Reduce Defects

For global value chains, QMS and SPC are not enough. Combine historical and real-time data from systems and suppliers, then create AI models to detect and prevent quality issues before they occur. With IoT, integration, data unification, and ML, automate root-cause analysis, detect & classify defects, react in real time to proactive alerts, and dynamically learn to improve quality and reliability.

Cosentino Finds a Solid Foundation for Digital Transformation
Cosentino_Final_042720_4
Maximize Efficiency

Reducing process variability has always been critical for manufacturing; but, doing this in real time is challenging. Maximize the value of streaming data with real-time monitoring. Reduce variability of your most complex processes with anomaly detection, univariate and multivariate SPC, and AI. Avoid rework and proactively respond to dynamic conditions with AI-infused process control methodologies.

Eliminate Unplanned Downtime

Scheduled maintenance for instrumented assets, digital twins, and the IIoT can be costly. By continuously analyzing equipment and IoT sensor data, you can gain real-time awareness. Streaming and edge analytics, dynamic learning, and ML algorithms can ferret out key relationships and anomalies and predict future states before problems occur. Use predictive maintenance to maximize productivity.

Minimize disruptions

With recent supply chain disruptions, building resiliency tops many agendas. Real-time intelligence allows organizations to proactively respond to customer & supplier changes. By unifying data across the value chain and eliminating data silos, you can create a smart inventory, sense & respond to demand in real time, monitor supplier performance, and optimize transport and logistics.

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