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Scheduling Multi-line Multi-level Operations

Scheduling with Optessa MLS at main assembly level

Examples are power train, transmission assembly and seats.
  • Virtual line setup balances requirements across multiple lines while optimizing both capacity and line capability.
  • Ability to set process times based on product and line for flex or line specific models.
  • Ability to adjust requirement due dates based on shipping lead time for multiple destinations which allows parts to be scheduled in such a way inventory can be minimized.
  • Ability to minimize and smooth overtime usage across multiple lines based on optimal conditions and/or user specified shift preferences.
  • Capability to manage multiple constraint types that consider –
    • Inventory targets
    • Due dates
    • Part change
    • Over time smoothing
    • Capacities
    • Ramp up / down plans
  • Customized scheduling process: for example, daily / weekly / monthly.

Scheduling with Optessa MLS at sub-assembly / parts level

Examples are main valve body, gears, crankshaft machining and head liners.
  • Derive requirements from multiple sources including main / feeder line requirements
  • Consider exceptional requirements such as special builds, service parts, and any other demand sources.
  • Manage multiple constraint types such as Inventory targets, ramp up / down requirements, order due dates and build order preferences.
  • Manage fluctuating demand of main / feeder lines across available capacity by using inventory targets to maintain a smooth schedule.
  • Considers planned down time due to part change over / line setup, line efficiencies, scrap rates and part cycle times.

Benefits from using Optessa MLS for scheduling
  • Tight synchronization of schedule with requirements.
  • Schedule multiple lines simultaneously based on a “Virtual Line” set up.
  • Optimal schedule based on actual operating conditions and constraints.
  • Reduce operating costs.
  • Overtime smoothing.
  • Better inventory management while maintaining delivery conformance.
  • Improved accuracy and reduced scheduling process times.

 

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