The Implementation
As a critical Tier-1 supplier to major global FMCG manufacturers, the client was forced to maintain exceptional agility. However, the disconnect between their commercial sales forecasts and their shop-floor execution led to severe operational friction, resulting in highly volatile production schedules, excessive machine changeovers, and costly unplanned downtime.
EvoChain deployed its Capacity & Execution Management architecture to bridge the gap between demand sensing and physical manufacturing:
- Algorithm Auto-Selection: The platform ingested historical data, automatically testing and selecting the optimal algorithm (XGBoost vs. SARIMA) based on ABC/HML segmentation to generate a stable, trusted demand baseline.
- Rough-Cut Capacity Planning (RCCP): Utilizing EvoChain's BOM explosion logic, the dependent demand was instantly translated into shop-floor loads. This allowed management to mathematically evaluate generated production orders against actual machine run-rates and working hours.
- Dynamic Load Balancing: Plant managers gained the ability to virtually adjust shifts per day and working days per week at the facility level, smoothing production peaks before they caused execution bottlenecks.
By aligning high-fidelity forecasting directly with factory capabilities, the client successfully stabilized their production wheel, minimizing reactive firefighting and drastically improving utilization rates.