Define the input
List the master and transaction data needed to make the decision.
Raw-material overconsumption
How to detect, explain, and control production consumption variance
A practical operating guide from the Plan 2 Yield manufacturing-control framework.
The operating problem
Why this control matters
A reliable manufacturing decision needs current inputs, an accountable owner, clear rules, and a traceable resolution path.
Outcomes
A clearer next action for every team
Protect the action
Set validation, authorization, and quantity controls before execution.
Record the result
Capture movement, output, variance, and commercial impact.
Review the signal
Use recurring exceptions to improve process discipline.
Connected workflow
Keep context from the first decision through closure
- 01
Step 1
Keep planned BOM consumption separate from actual issue.
- 02
Step 2
Capture batch-level quantities used for the production log.
- 03
Step 3
Record good, rejected, and scrap output together.
- 04
Step 4
Calculate variance against completed output, not only planned order quantity.
- 05
Step 5
Require a reason for exceptional consumption or manual adjustment.
- 06
Step 6
Review repeated variance by SKU, machine, shift, or vendor batch.
- 07
Step 7
Use the finding to correct BOM, process, quality, or operating discipline.
Capabilities
The operational foundation behind the workflow
- Keep planned BOM consumption separate from actual issue.
- Capture batch-level quantities used for the production log.
- Record good, rejected, and scrap output together.
- Calculate variance against completed output, not only planned order quantity.
- Require a reason for exceptional consumption or manual adjustment.
- Review repeated variance by SKU, machine, shift, or vendor batch.
- Use the finding to correct BOM, process, quality, or operating discipline.
Next step
See this control inside Plan 2 Yield
Use one real operating example during a guided product demonstration.