Examples
Examples
Try the starting example
- Tire lifetime ledger JSON [tire ID,purchase currency,repairs currency,credit/residual currency,distance km] (USD)
- [["A",200,20,0,20000],["B",220,0,20,25000]]
- Tire history [ID,net currency,currency per 1000 km] (USD)
- [["A",220,11],["B",200,8]]
- Distance-weighted fleet tire cost (USD/1000 km)
- $9.33
- Total recorded tire cost (USD)
- $420.00
Try another scenario
- Tire lifetime ledger JSON [tire ID,purchase currency,repairs currency,credit/residual currency,distance km] (USD)
- [["A",200,50,0,20000],["B",220,0,20,25000]]
- Tire history [ID,net currency,currency per 1000 km] (USD)
- [["A",250,12.5],["B",200,8]]
- Distance-weighted fleet tire cost (USD/1000 km)
- $10.00
- Total recorded tire cost (USD)
- $450.00
Calculation method
Calculation method
Tire history [ID,net currency,currency per 1000 km] (USD)
net=purchase+repairs-credit; rate=1000*net/distance.
Distance-weighted fleet tire cost (USD/1000 km)
1000*sum(netCosts)/sum(tireDistances).
Total recorded tire cost (USD)
Sum net costs.
Symbols and units
- a
- Tire lifetime ledger JSON [tire ID,purchase currency,repairs currency,credit/residual currency,distance km] (USD)
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Calculation steps and notation
sum(list) adds all entries in the list.
Assumptions & limits
Assumptions & limits
- Per-tire distance histories, not whole-vehicle distance; sum distances consistently across tires. No remaining life, wear, replacement or tire safety recommendation. Supported limits: 1..1000 tires; nonnegative costs/credits; credit<=purchase+repairs; distance>0.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.