Production Plannig

Production planning using the Industrial Internet of Things (IIoT) involves leveraging connected devices and data analytics to optimize manufacturing processes. Here’s how IIoT can enhance production planning. Real-time Data Collection: IIoT enables real-time collection of data from sensors and devices across the manufacturing floor. This data includes information on machine performance, production rates, and inventory […]

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Tool Management

Efficient Tool Life Management is revolutionized through Industrial Internet of Things (IIoT), ensuring real-time monitoring and optimization for prolonged tool lifespan. IIoT enables proactive insights into tool conditions, minimizing disruptions and maximizing productivity in industrial processes. Real-time Monitoring: IIoT enables real-time monitoring of tool usage, condition, and location. This data can be used to track

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Root Cause Analysis

Incorporating Industrial Internet of Things (IIoT) in root cause analysis enhances the process by providing real-time data and insights into operational aspects. IIoT enables continuous monitoring of machinery, processes, and environmental conditions, facilitating the identification of underlying issues more accurately. With immediate access to comprehensive data, organizations can conduct more precise root cause analyses, leading

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The maintenance process is different than production and it needs more scheduling and planning to execute. As NIYA is taking data from the machine, it gives precise maintenance alerts for the user and avoids breakdown and full utilization of consumables and spare parts. We support Running base as well as Condition Base maintenance (CBM) along

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Production Analysis

NIYA provides a full end-to-end process performance monitoring solution that provides actionable intelligence to users at any level of an enterprise. Highly accurate, real-time, and historical information can then drive operational efficiency and help to gain a competitive advantage. NIYA solutions typically involve pre-built calculations, downtime analytics, and production scheduling; all of which combine to

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