Manufacturing Dashboard Example

Visualize all your production efforts on a single KPI dashboard

Manufacturing dashboard example showing typical production KPIs
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Manufacturing Dashboard Overview

A manufacturing dashboard is a performance and efficiency tool for tracking the productivity levels of a manufacturing process. Typically, production volumes and capacity are monitored daily for machinery, production lines, or entire factories. These metrics and KPIs are then visualized on graphs and charts to provide real-time monitoring and alerting when volumes exceed set thresholds.

Who is this dashboard for?

This dashboard is aimed at many levels of the production process. Senior executives can see detailed production information that is vital in forecasting and capacity planning. Plant and production managers can leverage the information to monitor efficiency in the production process or assembly line and be alerted to any problems. Operators use these dashboards for real-time feedback on operating levels of machinery.

Overview

Manufacturing relies on a growing number of factors such as operator expertise, efficiency, capacity, staffing levels, volumes, planning, and contingency to name but a few, each having to function as part of a well-oiled machine. Luckily, dashboards offer a practical solution for tracking not only each of these factors but also how their relationships affect others. Manufacturing KPIs can be created by consolidating various elements such as the number of operators relative to the volume of production, to provide staffing level and operator efficiency data that helps with forward planning.

Trend analysis can highlight seasonal or historic low production periods that help with maintenance, volume pricing, and marketing.

Future problems can also be avoided by merging defect information and causes from customer complaints and returns, helping to better pinpoint issues with either production or product design that would otherwise be pure guesswork.

KPIs & Metrics

  • Production Rate
  • Units Lost
  • Machine / Plant Productivity
  • Operator Productivity
  • Units created
  • Productivity by location
  • Defects by Cause

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