Each glowing platform is one stage of a real-world eco-certification pipeline (think ISO 14001/EMAS-style environmental management, organic standards or a carbon-neutral label): an Origin & Practices Audit checks how the product was grown or made, a Carbon Footprint Calculation checks the energy mix behind it, a Traceability Check checks whether the supply chain can be verified end-to-end, and the final Certification Board combines all three into a pass/fail decision against the strictness bar you set. Batches (small drifting cubes) queue through the stages in order; at the board, a batch that clears the bar turns green and receives a badge ring — one that doesn't gets sent back to the start for corrective action and a re-audit, exactly like a real applicant resubmitting evidence.
organicScore ∝ 100 − pesticideUse (+ batch variance)
carbonScore ∝ renewableEnergy (+ batch variance)
traceScore ∝ transparency (+ batch variance)
overall = mean(organicScore, carbonScore, traceScore)
certified ⇔ overall ≥ strictness
- Batches in queue — how many product batches are circulating through the pipeline at once.
- Pesticide / synthetic input use — lower values raise the organic-practices score measured at the audit stage.
- Renewable energy share — higher values raise the carbon score measured at the footprint stage.
- Supply-chain transparency — higher values raise the traceability score measured at the traceability stage.
- Certification strictness — the bar the board compares the combined score against; a stricter (higher) bar rejects more batches and sends them back for re-audit.
- Audit pace — how quickly batches move and dwell at each stage.
Real-world relevance: this is why certification schemes rarely accept a single strong metric alone — a low-pesticide product with an opaque, untraceable supply chain, or a fully traceable one built on fossil-heavy energy, both fail a genuinely multi-criteria eco-label.