Healthcare

Coverage, capacity and equipment, under real constraints.

Rostering nurses against skills and fatigue rules, planning bed and theatre capacity, and positioning scarce equipment are combinatorial assignment and allocation problems — the same mathematics as crew scheduling and warehouse layout, in a higher-stakes vocabulary.

The problem

Rostering, capacity and distribution — all NP-hard.

Staff rostering against skills, hours and fatigue rules is a scheduling problem; bed and theatre capacity planning is an allocation problem; positioning scarce equipment across a hospital network is allocation plus routing. Each compounds the others when a network — not a single site — has to be planned together.

What we optimize

Three solutions, three archetypes.

Staff Rostering & Shift Scheduling

Coverage against skills, fatigue rules and demand.

QG-SCHED

Capacity & Facility Planning

Bed, theatre and resource allocation across a hospital network.

QG-ALLOC

Equipment & Supply Distribution

Positioning and moving scarce, high-value assets.

QG-ALLOCQG-ROUTE

The engines behind it

Built on the same core engines.

Proof

No published number yet for this industry — and we're saying so.

QG-SCHED and QG-ROUTE both carry real, published results elsewhere (telecom and logistics); QG-ALLOC's research is mature but not yet independently benchmarked anywhere. The honest version for healthcare: same archetypes, same-caliber engines, and when we run them against your rostering or capacity data, that benchmark is the number that counts.

Have a rostering, capacity, or distribution problem to optimize?

Share historical rostering, capacity or distribution data; we'll benchmark against your current approach and give you a clear read.

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