Before you start
This tutorial walks through a full MVM analysis on a small worked example: a belt conveyor design where pump pressure must satisfy a load-driven threshold. By the end you will have built a Margin Analysis Network, run an analysis, and interpreted the resulting Margin Value Plot.
You only need a modern web browser. The module runs entirely client-side; no installation is required.
Walkthrough
6Define inputs and parameters
Drag input nodes onto the canvas for the parameters that may change during the design's life — mass, height, environmental conditions. Mark the performance parameters you ultimately care about (for example, design pressure or efficiency).
Add calculation nodes
Wire deterministic calculations between inputs and downstream parameters. Each calculation node carries a formula, an optional lookup table, or a surrogate model. Greek letters and standard mathematical functions are supported.
Add decision nodes
Capture catalogue or discrete-choice decisions. A decision node automatically registers a margin between its decided value and the threshold required by the network — for example, the chosen pump's rated pressure versus the pressure required by the load.
Run the analysis
Open the analysis panel, optionally set weights on inputs and performance parameters, and run. The engine computes local excess, impact, and absorption for every margin in the network.
Read the Margin Value Plot
Margins are placed on a bubble chart with impact on the X-axis, absorption on the Y-axis, and bubble size set by local excess. Use the four-quadrant interpretation in the Overview to decide which margins to keep, trade off, ignore, or reduce.
Iterate the design
Change a parameter, swap a catalogue selection, or restructure the network and re-run. The Margin Value Plot updates so you can see whether your edit moves margins into more favourable quadrants.
Next steps
- Try the worked examples on the Case Studies page.
- Read the underlying paper for the formal definitions and proofs.
- Explore the other modules: Margin Deployment Cascading for top-down allocation, and Probabilistic Margin Analysis for change-propagation risk.
- Get in touch via the contact page.