Manufacturing Cost Intelligence
What did this run really cost per saleable tonne?
The manufacturing problem
Standard costing assumes a yield. When actual recovery differs, the effect appears later as a variance on a finance report, some distance from the run, the lot and the people who could explain it. Operations and finance end up discussing the same event in different terms.
What Yieldstem is designed to analyze
Material inputs, finished-product values, byproduct credits and processing costs joined at run level. Costs are expressed per saleable tonne at actual yield and at expected yield, so the effect of recovery on cost can be read directly.
Why it matters operationally
Operations and finance can work from one reconciled account of a run. Differences in product mix and raw-material price can be separated from differences in recovery, which are the part production can influence.
The decision it supports
Where recovery improvement pays back against other uses of capital and engineering time, how to price lots and suppliers given what they actually yield, and which byproduct routes are worth developing.
| $/t finished | At 64.5% actual | At 66.2% expected |
|---|---|---|
| Raw fruit | $651.16 | $634.44 |
| Conversion cost | $310.08 | $302.11 |
| Byproduct credit | −$12.09 | −$10.24 |
| Net cost | $949.15 | $926.31 |
A difference of $22.83 per tonne with identical input and conversion spend. Yield alone moves it. Raw fruit at $0.42/kg, conversion $4,800 for the run.
Start with the problem that costs you most.
Few operations need all of this at once. If one of these questions is already being argued about in your plant, it is a practical place to begin the conversation.