Satisfactory Calculator
Optimize your factory layouts, calculate machine requirements, and analyze power consumption for maximum efficiency.
Factory Production Planner
Power scales exponentially: P = BasePower × (ClockSpeed/100)1.3219.
We calculate exact machines required, then round up for building count.
Power Scaling Analysis
Figure 1: Comparison of Linear Production Gain vs. Exponential Power Cost as Clock Speed increases.
Production Breakdown
| Configuration | Machine Count | Clock Speed | Total Power (MW) | Items/Min |
|---|
Table 1: Alternative configurations to achieve the target production rate.
What is a Satisfactory Calculator?
A Satisfactory Calculator is an essential tool for players of the factory building simulation game, Satisfactory. As you progress through tiers, production lines become increasingly complex, requiring precise math to ensure 100% efficiency. Without calculation, players often face bottlenecks, overflowing belts, or power grid failures.
This tool allows FICSIT pioneers to determine exactly how many machines (Constructors, Assemblers, Manufacturers, etc.) are needed to achieve a specific production goal. By inputting your desired output rate and the recipe’s base statistics, you can plan entire factory floors before laying a single foundation.
Satisfactory Calculator Formula and Mathematical Explanation
The core logic behind how to use a satisfactory calculator relies on ratios between the recipe’s standard output and your target goal. Additionally, power consumption in Satisfactory follows a specific non-linear curve when overclocking.
1. Machine Count Formula
The basic formula to determine the number of machines is:
Machines = Target Production Rate / Recipe Output Rate
2. Power Consumption Formula (Update 4+)
When underclocking or overclocking machines using Power Shards, power does not scale linearly. The formula used is:
Power = Base Power × (Clock Speed / 100)1.321928
| Variable | Meaning | Unit | Typical Range |
|---|---|---|---|
| Target Rate | Desired total items per minute | Items/min | 1 – 2000+ |
| Recipe Output | Items produced by 1 machine at 100% | Items/min | 1 – 600 |
| Clock Speed | Operating speed percentage | % | 1% – 250% |
| Exponent | Power scaling factor | Constant | ~1.321928 |
Practical Examples (Real-World Use Cases)
Example 1: Reinforced Iron Plates
Scenario: You want to produce 30 Reinforced Iron Plates per minute using the standard Assembler recipe.
- Recipe Output: 5 items/min (Standard Recipe).
- Target: 30 items/min.
- Calculation: 30 / 5 = 6 Assemblers.
- Power: If base power is 15 MW, total power is 6 × 15 = 90 MW.
Example 2: Overclocking Miners
Scenario: You have a Pure Iron Node (Mk.2 Miner) producing 240 ore/min, but you need 600 ore/min.
- Base Output: 240 items/min.
- Target: 600 items/min.
- Required Clock Speed: (600 / 240) × 100 = 250%.
- Power Impact: Power will increase by roughly 3.36x, not 2.5x, due to the exponent factor.
How to Use This Satisfactory Calculator
- Identify Your Recipe: Look at the machine (Constructor, Refinery, etc.) in-game to find the “Output per Minute” (e.g., 20 High-Speed Connectors). Enter this in the first field.
- Set Your Goal: Decide how many items you need for the next stage of production (e.g., 100/min). Enter this in “Target Production Goal”.
- Check Power: Input the base power consumption (MW) listed in the build menu for that machine type.
- Select Belt Speed: Choose the highest tier conveyer belt you have unlocked to see if your output fits on a single line.
- Analyze Results: The tool will show the exact number of machines needed. If the number is a decimal (e.g., 4.5), you can either build 5 and underclock them or build 4 and overclock them.
Key Factors That Affect Satisfactory Calculator Results
When learning how to use a satisfactory calculator effectively, keep these factors in mind:
- Power Shards (Overclocking): Increasing clock speed beyond 100% requires Power Shards (collected from Slugs). This increases power usage disproportionately.
- Belt Limits: Even if you calculate that one Mk.3 Miner at 250% produces 1200 ore/min, a Mk.5 belt can only carry 780 items/min. The calculator will highlight belt bottlenecks.
- Pipe Flow Rate: For fluids, Mk.1 pipes carry 300 m³/min and Mk.2 carry 600 m³/min. Fluid dynamics also suffer from sloshing, so it is often recommended to not run pipes at 100% max capacity.
- Alternate Recipes: Hard drives unlock alternate recipes that are often more efficient (e.g., “Cast Screw” removes the rod step). Always recalculate when switching recipes.
- Manifold vs. Load Balancer: The calculator assumes perfect splitting. In a manifold (machines in a line), it takes time for the last machine to fill up and reach 100% efficiency.
- Power Grid Capacity: Always ensure your total power generation (Coal, Fuel, Nuclear) exceeds the “Total Power Usage” shown in the calculator, as machines idling and restarting can cause grid spikes.
Frequently Asked Questions (FAQ)
Yes, overclocking reduces the number of machines required, saving physical space on your factory floor. However, it drastically increases power consumption.
Underclocking reduces power usage significantly. If you run 2 machines at 50% speed instead of 1 machine at 100%, you produce the same output but use less total power due to the exponential formula.
You can build 3 machines and underclock the last one to 66%, or underclock all 3 to roughly 88.6% to balance the load evenly.
Yes, the math logic regarding ratios and power scaling (exponent ~1.32) remains consistent across recent updates.
In version 1.0, Somersloops can be used to boost production output without increasing input cost, effectively doubling efficiency. This calculator currently calculates standard 1:1 input/output ratios.
If your total output is 1000 items/min and you use a Mk.5 belt (780/min), you need 2 separate belt lines to transport the goods. The calculator warns you of this logistical requirement.
It doesn’t affect the math, but when pumping fluids upwards, you must account for Head Lift using Pumps, which consume additional power not calculated here.
For CPU performance (FPS), fewer overclocked machines are better. For in-game power efficiency, more underclocked machines are better.
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