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Overall Equipment Effectiveness

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Overall Equipment Effectiveness

In today's competitive manufacturing environment, maximizing efficiency and productivity is crucial for achieving operational excellence. Daksh Overall Equipment Effectiveness (OEE) is a powerful metric that helps organizations assess the performance of their production processes and identify areas for improvement.

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How DakshIIoT Enhances OEE

Our DakshIIoT Smart Industrial Platform, is a home grown platform is designed to help industries achieve maximum OEE by leveraging advanced technologies like Industrial IoT, AI-driven analytics, and real-time monitoring.

  • Key Features

    Real-time data collection from sensors and machines.

    Customizable dashboards for OEE tracking.

    Predictive maintenance alerts to avoid unplanned downtime.

    Automated reporting for data-driven decision-making.

    Seamless integration with existing MES/ERP systems.

  • Benefits of Implementing OEE with DakshIIoT

    Increased Operational Efficiency: Improved machine performance and reduced idle time.

    Enhanced Quality Control: Early detection of defects and quality issues.

    Reduced Maintenance Costs: Predictive maintenance to prevent breakdowns.

    Informed Decision-Making: Data-driven insights for continuous process improvement.

With DakshIIoT’s OEE solutions, you can achieve unparalleled efficiency and productivity in your manufacturing operations. Connect with us today to schedule a live demo and explore how we can help you optimize your production line performance.

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Our Principle

IIoT packages purpose-built for various operational contexts

Availability

Availability is the duration during which a machine is fully operational and ready for production. However, several factors can hinder this uptime, including:

  • Obstructed sensors.
  • Misfeeds.
  • Material jams.
  • Mechanical failures and breakdowns.

Performance

Performance is the ability of a machine to operate at its optimal speed and capacity. However, this efficiency can be diminished by factors such as:

  • Worn-down equipment.
  • Insufficient maintenance.
  • Environmental conditions (e.g., temperature, humidity, or dust).
  • Human errors or lack of operator expertise.

Quality

Quality refers to the production of parts that meet the required standards and the desired output. However, quality losses can arise from factors such as:

  • Human errors during operation.
  • Incorrect machine settings or calibration.
  • Inefficient batch changeover processes.

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