What This Case Supports, and What It Does Not

This case supports a forecast-to-order calculation model built from patient volume, non-patient consumption, and a locally verified pack yield; a reorder-point and safety-stock calculation using standard operations-management formulas; a fixed-versus-variable and direct-versus-indirect cost framework; the CLSI QMS20 four-category view of quality cost; and a bounded, safety-first shortage-response structure: confirm, quantify, reduce non-essential use, validate any substitute, and communicate.

This case does not set your laboratory's specific par levels, service level, reorder point, or depreciation schedule. The worked numbers in the guided example—95 percent service level, 92-tests-per-pack yield, 3 percent repeat rate, and 5-year useful life—are example inputs, not a rule any laboratory must adopt. Your effective pack yield, demand variability, chosen service level, depreciation policy, and purchasing-authority thresholds are local decisions set by your laboratory's finance and quality leadership, and CLSI QMS21 recommends that such controls exist without mandating specific numbers.

Build your forecast from real consumption data, size safety stock to your own demand variability and lead time, and treat a shortage as a bounded operational problem to manage, never a reason to compromise a clinically indicated result.