Decisions across critical-mineral supply chains are made under competing priorities — cost, resilience, environmental impact, social risk, and financial return — and no single metric captures them all. BLEECAM™ was built as a multi-objective supply-chain optimization platform to make those trade-offs explicit: to benchmark technologies, routes, and countries against one another, and to help de-risk investment in critical minerals — giving programs and investors a quantitative basis for RD&D and supply-chain-resilience decisions.
An integrating platform
BLEECAM brings together 12+ DOE-funded modeling and analysis tools — from technology-specific process models to specialized life-cycle, material-flow, and techno-economic engines — into a single optimization framework, rather than reinventing them.
Scenarios are composed with no code from a criticality-constraint library, and the platform carries screening-level, country-level capacity data across the modeled chains.
Modeling disciplines (hover for detail)
- Multi-objective supply-chain optimizationiFinds the best supply-chain configuration under real-world constraints and traces the Pareto frontier of trade-offs among cost, environmental, and social objectives.
- Environmental Life Cycle Assessment (LCA)iQuantifies toxic pollutants and emissions (e.g., benzene, mercury), water consumption, and resource use across many impact categories — attributed to each sourcing solution and drawn from integrated LCA engines.
- Social Life Cycle Assessment (S-LCA)iSocial-risk indicators along the chain — child & forced labour, health & safety, community and governance risks — by stakeholder group.
- Material-flow analysisiMass balances of materials and co-products tracked from ore through refining, manufacturing, use, and end-of-life recycling.
- Techno-economic analysis (TEA)iProcess- and system-level capital and operating cost modeling across every stage of the supply chain.
- Financial analysisiInvestment metrics — discounted cash flow, internal rate of return (IRR), return on capital, and return on investment (ROI).
- Sensitivity & uncertainty analysisiScreens which inputs move each objective most (elasticity) and propagates data uncertainty into the results.
Scenarios & cases
Compose scenarios in one click — supply shocks, onshoring floors, diversification caps, producer price support, strategic reserves — and read the cost, resilience, environmental, and social outcome of each side by side.
Two demonstrated cases, each modeled end to end. BLEECAM is material-agnostic — new minerals (copper, nickel, lithium…) are added through a declarative case file.
How to read this dashboard: pick a material and a pre-run scenario, then explore the tabs — supply-chain flow, cost, environmental & social LCA, scenario comparison, and sensitivity hotspots. Results are produced by the optimization model together with the integrated life-cycle (LiAISON ⇄ BLEECAM) engines; the gallium raw-pollutant inventory is being finalized. BLEECAM is a modeling and analysis capability, not a policy-making tool; results are conditional on inputs and subject to data-scarcity limitations.
Funded by the U.S. Department of Energy, Office of Critical Minerals and Energy Innovation · National Laboratory of the Rockies (NLR) · Released under AGPL-3.0-or-later · BLEECAM™
Integrated Global Critical-Mineral Supply-Chain Design & Optimization
Cross-border trade flows
| Source | From | Destination | To | Material | Volume (t) | Unit cost ($/kg) | Type |
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