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Par Level (Inventory) in Clinical Supply Management

A stocking quantity is a par level (rather than an arbitrary reorder habit) when it is calculated as (Average daily usage x Lead time in days) + Safety stock, and is used as the target quantity a stocking location -- a supply cart, a lab bench, a central stores shelf -- is restocked up to at each periodic review, so that the reorder amount at any count is simply par level minus on-hand quantity.

ByCASRAI Editorial Board
· Last updated 29 Aug 2026

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Examples

Worked examples

  • Is an instance

    A hospital nursing unit averages 40 gauze packs/day, has a 3-day supplier lead time, and holds 2 days' usage as safety stock: par level = (40x3) + (40x2) = 200 packs. A count finding 55 on hand triggers a restock order of 200-55 = 145 packs.

  • Is an instance

    A lab bench averages 2 boxes of nitrile gloves/day, has a 5-day supplier lead time, and holds 3 days' usage as safety stock: par level = (2x5) + (2x3) = 16 boxes.

Counter-examples

Looks similar, but isn't

  • Not an instance

    A unit that restocks 'whenever someone notices the shelf is getting low,' with no calculated average-daily-usage/lead-time/safety-stock inputs and no fixed review interval, is running ad hoc replenishment, not a par-level system, even if staff call the restocked amount 'the par.'

Editorial commentary

Par level is the target quantity of a supply item that a stocking location — a nursing unit supply cart, an operating-room core, a lab bench, a central stores shelf — should hold on hand after each replenishment, calculated to cover expected usage through the next replenishment cycle plus a buffer for demand variability or delivery delays. When a periodic count finds on-hand quantity below par, staff restock the item back up to the par quantity; the reorder amount is simply the par level minus what’s currently on the shelf.

Operational definition

A stocking quantity counts as a par level, rather than an arbitrary reorder habit, when it is derived from three specific inputs rather than set by feel:

  • Average daily usage — the typical quantity of the item consumed per day at that specific stocking location (not facility-wide), usually averaged over a recent, representative period.
  • Lead time — the number of days between placing a replenishment order (or triggering an internal requisition) and having usable stock back on the shelf.
  • Safety stock — an added buffer quantity, separate from expected usage, that covers a supplier running late or a spike in demand during the lead-time window.

Par level is the sum of what you expect to use while waiting for the next delivery, plus that buffer:

Par level = (Average daily usage × Lead time in days) + Safety stock

A number that skips any of these three inputs — a round figure someone picked because “that’s about what fits on the shelf,” or a threshold nobody has recalculated since usage patterns changed — is a stocking habit, not a par level in the operational sense, even if staff call it one.

Worked example

Example 1 — hospital nursing unit. A medical-surgical unit’s supply cart uses an average of 40 gauze packs per day. The distributor’s lead time for a routine restock order is 3 days. The unit holds 2 days’ worth of usage as safety stock to cover a late delivery or a busier-than-average stretch.

Par level = (40 × 3) + (40 × 2) = 120 + 80 = 200 gauze packs.

If a weekly cart count finds 55 packs on hand, the restock order is 200 − 55 = 145 packs — not a fixed reorder quantity, and not “however many boxes fit.”

Example 2 — lab bench consumable. A bench goes through 2 boxes of nitrile gloves per day on average. The supplier’s lead time runs 5 days (slower than the hospital distributor above, because it’s a smaller specialty vendor). The lab keeps 3 days of usage as safety stock, since a stockout at the bench stops work entirely rather than just being inconvenient.

Par level = (2 × 5) + (2 × 3) = 10 + 6 = 16 boxes.

Both examples use the identical formula; only the inputs (usage rate, lead time, risk tolerance expressed as days of safety stock) differ by setting. Safety stock doesn’t have to be expressed as “days of usage” — some institutions instead calculate it statistically as a service-level factor times the standard deviation of demand during lead time — but the flat days-of-cover approach above is what most clinical par-level systems actually use in practice, because it’s auditable by a unit staffer without a statistics background.

Par level vs. a simple reorder point

The two concepts are built from the same three inputs and get confused for that reason, but they answer different questions in different kinds of inventory systems:

  • A reorder point (ROP) belongs to a continuous-review system: it is a single trigger threshold — the on-hand quantity at which staff place a new order. It answers only “when do we reorder?” The “how much?” question is answered separately, usually by a fixed or economically-calculated order quantity that has nothing to do with the reorder point itself.
  • A par level belongs to a periodic-review system: at each fixed review point (a daily cart exchange, a weekly shelf count, an automated dispensing cabinet’s scheduled refill), stock is topped back up to the par quantity. Par level answers both questions in one number — “how much should be here” doubles as “how much do we order,” since the order is just par minus on-hand.

That’s also why par-level systems are the dominant model for high-volume, low-unit-cost clinical and lab consumables (gauze, syringes, gloves, pipette tips): they don’t require continuously tracking every unit in real time, only an accurate count at each fixed review interval. A reorder-point system, by contrast, needs the on-hand quantity known continuously (or checked very frequently) so the trigger can actually be caught the moment it’s crossed — worthwhile for expensive or safety-critical items, overkill for a box of gauze.

Counter-example

A unit that restocks “whenever someone notices the shelf is getting low,” with no calculated quantity behind the decision and no set review interval, is not running a par-level system — even if staff describe the restocked amount as “the par.” Without the average-daily-usage, lead-time, and safety-stock inputs actually driving the number, and without a fixed review point, there’s no way to tell whether the quantity on hand at any given moment is enough to cover the next delivery cycle; it’s ad hoc replenishment that happens to use par-level vocabulary.

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