CASE05 · Manufacturing · Forming process
Reducing forming-process downtime and increasing lot weight
A regression baseline links former electricity consumption to downtime and production weight. The analysis evaluates lower idle time and larger production lots as a route to improved energy intensity.
01 · CASE ANALYSIS
Operating challenge
Energy intensity differed between production lines. Equipment conditions, operator practices and product mix needed to be considered before attributing the differences to efficiency.
The proposed actions were to reduce waiting and stopped time, improve time utilization and increase lot/batch weight. Former operating, idle and load time, production weight and electricity were analyzed alongside compressor airflow and electricity.
02 · CASE ANALYSIS
Baseline models
The FM-process model relates electricity to downtime and production weight. A separate airflow-based baseline describes air-compressor energy use. Keeping these boundaries separate avoids confusing production-process changes with compressed-air demand changes.
| Boundary | Model | Reported interpretation |
|---|---|---|
| FM process | E = 6.8726 + 0.1167 × downtime + 0.1909 × production weight | R² 0.96 in the source; daily baseline-minus-actual evaluation |
| Compressed air | E = 0.1074 × airflow + 164.9166 | R² 0.95; reported correlation 0.983 |
03 · CASE ANALYSIS
Optimization scenario
The scenario moves daily downtime toward the first-quartile level and daily production weight toward the third-quartile level. It compares 510 with 410 min/day of downtime and 2,778 with 4,100 kg/day of production.
The reported intensity changes from 0.215 to 0.204 kWh/kg, with a reported initial potential of 5.4%. These are scenario estimates, not a completed field-verification result.
04 · CASE ANALYSIS
Measurement & verification
Compare results within the same production line and product mix. Stratify line-specific differences and evaluate monthly savings using daily baseline-minus-actual calculations.
Apply the separate airflow baseline to the compressor system. Changes in production conditions and compressed-air demand must be accounted for when interpreting savings.
| Indicator | Baseline condition | Scenario condition |
|---|---|---|
| Downtime | 510 min/day | 410 min/day |
| Production weight | 2,778 kg/day | 4,100 kg/day |
| Electricity intensity | 0.215 kWh/kg | 0.204 kWh/kg |
| Initial savings potential | — | 5.4% (reported) |
05 · CASE ANALYSIS
Engineering lesson
Larger lots can spread fixed or idle energy across more output, while reducing downtime can reduce energy consumed without production. Evaluate both energy intensity and absolute consumption: increased output can improve kWh/kg while total electricity grows.
Future forecasting or anomaly detection would require enough repeatable production and operating data; this case does not establish verified AI performance.
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