Continuous tracking and monitoring of the status and performance
of machines in real-time, capturing data on parameters such as
operating speed, production output,
downtime, error rates, and other relevant key performance indicators.
Enabling the capture of detailed data on temperature, pressure,
vibration, and other relevant parameters that impact machine
performance and overall production efficiency.
Our
Manufacturing Execution System
(MES) functioning as a
machine data collection software, empowers manufacturers to gather and combine data from various
machines and production lines. It consolidates this information to
facilitate thorough analysis and generate reports on
Overall Equipment Effectiveness
(OEE).
Production Cycle tracking
Get the comprehensive collection and analysis of data related to
the various stages and activities within the manufacturing
production cycle.
Real-time monitoring of the progression of workflow throughout the
production cycle, capturing data on the start and completion times
of each stage, as well as any delays or interruptions that occur
during the manufacturing process.
Capturing data on production cycle times, throughput rates,
equipment utilization, and
overall equipment effectiveness
(OEE). This data provides insights into the efficiency of
production processes, highlighting areas for improvement and
optimization.
Quality Rejection from Machines
Monitor and track instances of product or
component rejections
during the production process. This includes capturing data on the
type of defects, the frequency of rejections, and the specific
stages or machines where the defects occur.
Analyze the data to understand underlying factors contributing to
product defects such as material defects, machine malfunctions,
human errors, or process deviations.
Production information Acquisition
The systematic collection and integration of
real-time data on production
and operational parameters from PLCs deployed on the factory
floor.
PLCs directly collect data from various production equipment,
machinery, and sensors, capturing information such as machine
status, production counts, process parameters, and equipment
performance metrics.
The data acquired from PLCs is seamlessly integrated, allowing for
centralized data management, comprehensive analysis, and enhanced
reporting capabilities. This integration ensures that production
information is readily accessible to all relevant stakeholders for
improved operational visibility and decision support.
Process Parameter Monitoring
Retrieve data from PLCs on various
process parameters, such as temperature, pressure, speed, flow rate, and other
relevant variables, from production equipment and sensors. The
data can then be analyzed in real-time to ensure that the
production process remains within the specified operational
limits.
Continuous monitoring of the process parameters against predefined
thresholds or tolerance limits, enabling prompt corrective actions
to prevent production issues or quality defects.
Close monitoring of critical process parameters identifies
potential quality variations or discrepancies, allowing
manufacturers to implement corrective measures and uphold product
quality and consistency.
Downtime excluding Management losses
Aspiring to identify inefficiencies through tracking and downtime
analysis excludes
planned maintenance
and disruptions and improves overall equipment effectiveness.
Streamlining of data analysis and issue rectification promotes
improved operational efficiency.
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