 |
 |
Planning problems tend to be large and complex. For example, in the automotive industry,
a monthly plan could involve
- Considering a forecast and actual order pool of 1,000,000 cars
- 10 assembly plants
- 20 vehicle lines
- Select 200,000 cars for a particular month
- 200 regional allocation rules
- 1000 dealer allocation rules
- 500 material, plant and labor constraints
With such large problems, legacy systems tend to produce sub-optimal plans, with many problems -
- Critical production or supplier capacity is not maximized.
- Many high priority / actual orders are not included.
- Planning process is not responsive to demand forecast or capacity changes.
- Re-planning does not maintain material stability.
Optessa's planning solutions can deliver "near optimal" plans, with significant benefits.
- Maximize performance against MPL and marketing constraints.
- Select an optimal proportion of high priority / actual orders
- Allow for quick re-planning.
- Maintain integrity to an earlier plan during a re-planning exercise: enable material stability for long lead time parts.
- Align demand, capacities and constraints at a regional or global level.
- Minimize the number of forecast orders required to generate a "near optimal" plan.
- Enable flexibility: reduce response and lead times to deal with changes.
|
|
|
|
|
