Advanced Logistics Input
Example Data Table
| Route | Hours | Manpower | Ammo | Rations | Parts | Use Case |
|---|---|---|---|---|---|---|
| Short Supply Run | 0.5 | 120 | 80 | 80 | 20 | Fast refresh cycles |
| Balanced Route | 3 | 550 | 300 | 300 | 100 | Daily farming |
| Long Overnight Plan | 8 | 900 | 900 | 600 | 300 | Sleep schedule |
Formula Used
Expected multiplier = Success rate × (1 + Great success rate × Great success bonus).
Expected resource = Base resource reward × Expected multiplier.
Net resource = Expected resource − matching cost adjustments.
Total weighted value = Net manpower + Net ammo + Net rations + Net parts + item values.
Hourly value = Total weighted value ÷ mission duration.
Daily value = Hourly value × 24.
Optimization score = hourly value weight + planned run weight + item value weight.
How to Use This Calculator
Enter the route name, duration, and reward values. Add the success rate and great success chance. Then include expected costs, such as deployment, repair, or opportunity loss. Press the calculate button. The result appears above the form. Use the chart to compare resource strength. Export CSV or PDF for planning records.
Girls Frontline Logistics Planning Guide
Why Logistics Planning Matters
Logistics planning helps commanders keep resources stable. A strong plan reduces shortages during events, ranking maps, crafting sessions, and repair-heavy play. Many players only compare the visible reward. That method can miss duration, success chance, and hidden costs. This calculator gives a wider view. It converts every run into hourly value and planned daily value.
Balancing Resources
Girls Frontline uses several major resources. Manpower supports deployment and repairs. Ammo supports combat use. Rations support squad activity. Parts support repairs and equipment growth. A good logistics schedule does not always chase the largest single number. It should support your current bottleneck. If you lack ammo, a balanced route may be weaker than an ammo focused route.
Success Rates and Great Success
Great success can change route value. A longer route with strong great success chance may beat a short route with lower rewards. This tool adds a bonus multiplier. You can adjust it for your own assumptions. This is useful when leaders, level, or morale improve the outcome.
Costs and Opportunity Loss
Costs are easy to ignore. A squad may need deployment resources. Repairs may consume manpower and parts. Opportunity cost also matters. A team assigned to logistics cannot be used elsewhere. The calculator subtracts these values before showing net gain.
Using the Score
The optimization score is a planning guide. It favors hourly value, but it also counts planned runs and item value. Use it to compare routes with different durations. For overnight planning, daily value may matter more. For active play, hourly value may matter more.
FAQs
1. What does this logistics calculator measure?
It measures expected resource value, hourly gain, daily value, and a planning score after success rates, bonuses, and costs.
2. Can I use custom route values?
Yes. Enter any route duration and rewards. The calculator works with custom missions, event routes, or personal estimates.
3. What is great success bonus?
It is the extra reward multiplier applied when a logistics run gets a better outcome than normal success.
4. Why include opportunity cost?
Opportunity cost represents value lost because the assigned echelon cannot be used for farming, combat, or another route.
5. Is hourly value better than total reward?
Hourly value is better for comparing different durations. Total reward is useful when you only care about one completed run.
6. Can I export my result?
Yes. Use the CSV button for spreadsheet data or the PDF button for a quick printable planning report.
7. Does this replace in-game testing?
No. It supports planning. You should update values when your route data, success chance, or farming goals change.
8. Which score should I follow?
Use optimization score for balanced planning. Use hourly value for active play. Use daily value for long schedules.