Cost Effectiveness Calculator · Process Economics
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Cost Effectiveness calculator.

Calculate the total process cost per unit of useful output — or flip to benefit per unit cost. Itemise every cost stream by category, choose your output unit, and results update live. All data stays in your browser.

Principle 1 guide
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What is Cost Effectiveness — and why does it matter?

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Cost Effectiveness (CE) is a process economics metric that expresses the total cost of a process relative to its useful output. It answers a fundamental question in green and sustainable chemistry: are we getting value from the resources we commit? A low CE (cost per unit output) indicates an efficient process; comparing CE across routes or process iterations enables evidence-based decision-making alongside mass-based and energy-based metrics.

GoalMinimise the cost required to produce each unit of useful output — or, in the inverted form, maximise the output obtained per unit of expenditure.
WhyEconomic viability underpins the real-world adoption of greener processes. High cost effectiveness enables scale-up, drives process optimisation, and supports business cases for sustainable chemistry.
HowReduce raw material costs through higher yield and atom economy; minimise energy consumption; recover and recycle solvents and catalysts; streamline workup and purification steps.

The formulas

$$\text{CE} = \frac{C_{\text{total}}}{Q_{\text{output}}}$$
SymbolTermUnits
\(\text{CE}\)Cost Effectiveness (cost per unit output)currency unit per output unit (e.g. £ g−1, $ mol−1)
\(C_{\text{total}}\)Total process cost (all cost items summed)currency unit (£, $, €, …)
\(Q_{\text{output}}\)Total useful output achievedg, kg, mol, mmol, units, doses, …

The inverted form — output per unit cost — is useful when comparing processes where higher output per investment is the goal (e.g. screening campaigns, catalytic activity assays):

$$\text{ICE} = \frac{Q_{\text{output}}}{C_{\text{total}}}$$
SymbolTermUnits
\(\text{ICE}\)Inverted Cost Effectiveness (output per unit cost)output unit per currency unit (e.g. g £−1)

Typical cost categories in chemical processes

CategoryTypical cost driverReduction strategy
Raw MaterialsReagents, substrates, solvents, catalysts purchased for the processImprove yield; use cheaper or bio-based alternatives; recover & recycle
EnergyHeating, cooling, mixing, distillation, dryingOperate at ambient conditions; use microwave or flow chemistry; insulate equipment
LabourOperator time, analytical work, set-up and clean-downAutomate; telescope steps; use continuous manufacturing
Waste DisposalSolvent disposal, aqueous waste treatment, solid-waste handlingReduce waste at source (lower E-factor); recover solvents; use benign solvents
Equipment & OverheadDepreciation, maintenance, facility costsIncrease throughput; use multipurpose equipment; share infrastructure

Strengths and limitations

Strengths

  • Integrates multiple cost drivers into a single actionable number
  • Applicable at any scale — lab, pilot, or industrial
  • Enables direct comparison of alternative synthetic routes
  • Works with any output unit: mass, moles, biological activity, doses
  • Complements mass-based metrics (E-factor, PMI) with an economic lens

Limitations

  • Costs depend on scale, supplier, geography, and time — they change
  • Does not account for quality, purity, or value of by-products without adjustment
  • Does not capture externalities (environmental cost, regulatory burden)
  • Labour and overhead costs can be difficult to allocate precisely
  • Requires accurate cost data — estimates introduce uncertainty

Cost Effectiveness in context: complementary metrics

MetricWhat it measuresLens
E-factorMass of waste per mass of productWaste / environment
PMITotal mass input per mass of productResource efficiency
RMCRaw material cost per mass of productMaterials economics
Cost Effectiveness (CE)Total process cost per unit of useful outputFull process economics
STYMass of product per reactor volume per timeProductivity / throughput
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Process details

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Cost items

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Enter all costs incurred in the process: raw materials, energy, labour, waste disposal, and equipment/overhead. Enter costs in the selected currency. Leave items at zero if they are negligible or unknown — but document that assumption in the Notes field above.

Cost item Category Cost (£) Notes (optional)
Σ Total cost £ — numerator of CE
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Useful output

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Specify the useful output of the process — this is the denominator of the cost effectiveness metric. Choose the unit that best represents value for your context: mass of isolated product, moles, number of doses, biological units, etc.

Output description Amount (g)
Σ Total output — g denominator of CE
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Results

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Cost Effectiveness
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£ / g
Total Cost
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£
Total Output
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g
Largest cost category
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Cost by category

Cost breakdown by item

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Detailed breakdown & interpretation

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Cost itemCategoryCost (£) % of totalVisual
Enter cost items and output above to see breakdown.

Interpretation

Enter cost items and useful output above to generate an interpretation.
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Save & load sessions

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Sessions are stored in your browser only. No data leaves your device.

No saved sessions yet.
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Export

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Export your cost effectiveness calculation as a PDF report or CSV data file. PDF opens in a new tab and uses your browser's print function. CSV downloads directly.

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Where can I read more?

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References are sorted alphabetically by first author.

  1. P. T. Anastas and J. C. Warner, Green Chemistry: Theory and Practice, Oxford University Press, 1998. ISBN 978-0-19-850698-0. — Original statement of the 12 Principles; the economic case for green chemistry is threaded throughout.
  2. D. J. C. Constable, A. D. Curzons and V. L. Cunningham, Green Chem., 2002, 4, 521–527. DOI. — Metrics for process greenness including cost considerations alongside mass and energy metrics.
  3. C. Jiménez-González et al., Org. Process Res. Dev., 2011, 15, 912–917. DOI. — PMI framework; discusses cost-mass relationships in pharmaceutical process development.
  4. R. A. Sheldon, Green Chem., 2017, 19, 18–43. DOI. — Metrics of green chemistry, engineering and sustainability; economic dimensions of green process assessment.
  5. J. L. Tucker, Org. Process Res. Dev., 2006, 10, 315–319. DOI. — Green chemistry metrics in pharmaceutical process R&D; integration of cost-based and mass-based assessments.
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Contributors

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Roles follow the CRediT taxonomy (Contributor Roles Taxonomy), adapted for educational software. Hover a contributor's name for a summary, or a column header for the definition of that role.

Contributor

© 2024– DodecaGreen Project. All rights reserved. · Last updated: 09/06/2026

This portal was built with the assistance of a large language model (Claude, Anthropic), which was used to generate and refine code, articulate and structure contributed ideas within the defined page format, and support iterative design decisions. All scientific content, conceptual frameworks, pedagogical choices, and final outputs were directed, reviewed, and verified by the contributors listed above.

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How do I cite this page?

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If you use this tool in teaching or published work, please cite the DodecaGreen portal as the source.

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