SCE Order Forecast
Optimising Production Order Forecasting with RPA Automation
Key Solution: Robotic Process Automation (RPA)
Challenge
Manual Order Forecasting: The supply assurance team must log into the SCE system to download the Goods Issue (GI) checklist and Order list, then manually compare these to identify orders that have not yet been created.
Complex Order Creation: For each production order, employees must consider multiple factors such as materials PO date, vendor details, available quantities, plant selection, and finished goods packaging label requirements, then manually push orders forward for 6 months.
Time-Consuming Process: This cumbersome and repetitive manual process is resource intensive and prone to errors, hindering timely and accurate production planning.
Solution
The RPA solution automates production order forecasting by integrating data from the SCE system and applying business rules to generate orders up to six months in advance. This streamlined process enhances accuracy and efficiency while freeing up manual resources for handling exceptions only.
Before Implementation:
- Manual processing takes several hours to create orders for a 6‑month forecast.
- High risk of errors due to manual comparisons and data entry.
- Significant manual effort required for data downloading, comparison, and order creation.
- Cumbersome and time‑consuming process that slows down production planning.
After Implementation:
- Orders are generated automatically in a fraction of the time.
- Rule‑based automation ensures 100% accuracy in order creation.
- Minimal manual intervention; only exceptional cases require review.
- Significantly more efficient, enabling rapid and reliable order forecasting.
Impact
100% Accuracy
85% Efficiency
50% Improved Exception Handling