The Consumption Method: A Step-by-Step Guide

Author

Udeshi Salgado

Published

September 27, 2026

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Use when: a product is established, records are complete and supply has been largely uninterrupted.

Setting up the assumptions

  • Data: 12–24 months of monthly consumption, with stock-out days recorded.
  • Stock-outs: exclude stock-out months from the average.
  • Reporting: scale up if not all facilities reported (e.g. ÷ 0.9 for 90%).
  • Expected change: programme growth, new services or policy changes (%).
  • Seasonality: reflect systematic monthly variation.
  • Planning parameters: lead time, procurement period and safety stock, in months.

Procedure

  1. Adjusted average monthly consumption = consumption in months with stock ÷ number of those months.
  2. Adjust for reporting rate and expected change.
  3. Requirement = projected monthly consumption × (lead time + procurement period).
  4. Safety stock = projected monthly consumption × safety stock months.
  5. Quantity to procure = requirement + safety stock − stock on hand − stock on order.
  6. Round up to packs, cost and compare with the budget.

Worked example

A district store is quantifying metformin 500 mg tablets for 12 months. The product was out of stock in March and April.

Month Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Consumption (tablets) 4,600 4,900 0 0 5,100 4,700 4,800 4,500 5,000 4,900 4,700 4,800

Assumptions: March and April excluded; +10% for a new diabetes clinic; lead time 3 months; procurement period 12 months; safety stock 3 months; stock on hand 9,000; stock on order 6,000; packs of 1,000.

Step Calculation Result
Adjusted average monthly consumption 48,000 ÷ 10 months 4,800 tablets
Projected monthly consumption 4,800 × 1.10 5,280 tablets
Requirement 5,280 × (3 + 12) 79,200 tablets
Safety stock 5,280 × 3 15,840 tablets
Quantity to procure 79,200 + 15,840 − 9,000 − 6,000 80,040 tablets
Rounded to packs 80,040 ÷ 1,000, rounded up 81 packs

Including the stock-out months would give an average of 4,000 and understate the order by about one-sixth.

Key considerations

  • Unadjusted stock-outs lead to repeated under-ordering.
  • Issues data are not the same as consumption.
  • Plan one-off campaigns separately.
  • Count only usable stock on hand.
  • Not suitable for new products.
Acknowledgement and further learning

Based on the online course on forecasting and quantifying medicines and health products offered by i+academy; all credit belongs to the course and its facilitators. For a fuller understanding, enrol in the course on i+academy.


Other guides in this series: Morbidity method · Demographic method · Other methods