1. Planning and Scheduling - APS Simulation with Simio
  2. Planning and Scheduling - APS Resource Planning with Simio
  3. Planning and Scheduling - APS Planning Board with Simio
  4. Planning and Scheduling - APS Dashboards with Simio
  5. simulation simio production design arena
  6. Planning and Scheduling - APS Production Reporting with Simio
Customer Satisfaction due to Operational Responsiveness 
Advanced planning and scheduling (APS) tools are limited in their capability to provide truly flexible and dynamic schedules. The limitation of APS tools stems from the ability to only make use of deterministic data, static inputs, and not being able to fully integrate all production systems.
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Simio LLC provides a scheduling tool that has all the functionality of traditional APS tools, but is driven by an underlying simulation engine. The patented design allows dynamic real time data, with probabilistic operational and arrival variance to drive schedules. Additional functionality of Simio's tool allows users to perform risk analysis based on pessimistic, optimistic and the most likely outcome in real time. Early warning indicators are graphically displayed to alert the scheduler of items at risk and items with slack. 
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The user interface consists of a gant chart with drag and drop functionality for the layman. Rearranging the schedule is fast, visual and easy. Statistical scenario analysis allows for assessment of various alternate schedules based on dynamic constraints. The tool will additionally advise on the best possible schedule to minimise the effect on recovery time and cost. 
Key Features - Scheduling and Planning
  1. Full integration with ERP and PLC Systems.
  2. Use of dynamic real time production and PLC data opposed to static deterministic data (historical averages).
  3. Probabilistic schedules that take operational and material arrival variance into account.
  4. Real time risk analysis of schedules with probable, optimistic, and pessimistic outcomes.
  5. Gant chart with drag and drop functionality for the layman.
  6. Early warning indicators showing items at risk and items with slack.
  7. Statistical scenario analysis of alternate schedules based on dynamic constraints.
  8. Guaranteed operational responsiveness.