Manufacturing Performance Management (MPM)

The manufacturing performance analytics offered by Stratum can help you evaluate and better understand the efficiencies of your production operations. With it, our customers have been able to:

  • Respond quickly and effectively to customer demand
  • Optimize machine and labor utilization and efficiency
  • Improve manufacturing order cycle times
  • Improve quality of output

The Manufacturing performance areas addressed by Stratum include …

  • Production Performance

    • Orders
      & Status
    • Work in
      Process
    • Labor
      Variance
    • Materials
      Variance
    • Overhead
      Variance
    • Utilization
    • Efficiency
    • Productivity
    • Production Variance
    • Performance to Schedule
    • Downtime
    • Scrap
  • Maintenance & Repair (MRO) Performance

    • Maintenance Requirements
    • Unplanned Downtime
    • History
    • Backlog
    • Status
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Production Performance

Stratum lets you assess day-to-day operational information to ensure that you can accommodate customer demand and that your resources are optimally utilized.
Some of the production analytics that Stratum provides include:

  • Operations analysis of orders, order status and work in process
  • Labor, materials and overhead variance analysis
  • Manufacturing Scorecard of key metrics like these:
    • Production quality
    • Performance to schedule
    • Labor productivity
    • Machine productivity
    • Labor efficiency
    • Effective output
    • Labor utilization
    • Machine utilization
    • Machine efficiency
    • Machine output
    • Scrap analysis
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Maintenance & Repair (MRO) Performance

Use Stratum to measure maintenance and repairs of your production equipment, too.

  • Monitor machine downtime, including unplanned events
  • Track equipment maintenance history to better plan and manage your future maintenance requirements
  • Easily see what your backlog is so you can plan machine utilization more effectively
  • Monitor the status of your work orders so you can quickly pinpoint potential delays that may impact forecasted utilization dates