Weighing, Dosing & Loss-in-Weight Feeding calculator
Recipe Cost Calculator
Calculate recipe cost for weighing, dosing & loss-in-weight feeding planning, quoting, troubleshooting, capacity review, or process improvement. Quantity times rate times capture factor, plus a fixed adjustment, builds a defensible weighted cost.
What this calculator does
- Calculate recipe cost for weighing, dosing & loss-in-weight feeding planning, quoting, troubleshooting, capacity review, or process improvement.
- Use it when recipe cost in weighing, dosing and loss-in-weight feeding is being put through a weighing, dosing and loss-in-weight feeding weighted-cost review.
- Turns recipe cost quantity, recipe cost rate, recipe cost capture factor into a weighted cost for recipe cost in weighing, dosing and loss-in-weight feeding.
Formula used
- Recipe Cost cost = quantity × rate × capture factor + fixed cost
- Per-unit recipe cost = total cost ÷ quantity
Inputs explained
- Recipe Cost quantity: undefined
- Recipe Cost rate: undefined
- Recipe Cost capture factor: undefined
- Recipe Cost fixed cost: undefined
How to use the result
- Use it when recipe cost in weighing, dosing and loss-in-weight feeding is being scored for capture or weighted cost.
- Risk-adjustments and discount rates are not in the formula; layer them on top for capital reviews.
Common questions
- What does the recipe cost calculator give me? Calculate recipe cost for weighing, dosing & loss-in-weight feeding planning, quoting, troubleshooting, capacity review, or process improvement. You get a weighted cost you can defend before quoting, scheduling, or sign-off.
- Which assumptions drive the weighted cost? recipe cost quantity, recipe cost rate, recipe cost capture factor usually move the weighted cost most. Pull from measured weighing, dosing and loss-in-weight feeding runs, supplier data, and recent quotes rather than memory.
- How should I use the result? Use the weighted cost in the weighing, dosing and loss-in-weight feeding business case or quote build-up.
- What should I verify first? Confirm the capture factor is honest; over-stated capture is the most common reason these models miss.
Last reviewed 2026-05-12.