● Solutions
Allocation & Packing
Put things in the right place: patients in beds, items in containers, tasks on stations. Classic models, real-world side constraints.
Every constraint and preference is a plugin. Switch them on or off, change their weight, or add rules of your own — the solver core stays untouched.
- 01
Hospital bed allocation
Assign patient stays to beds, respecting gender rules, required equipment and room preferences, without double-booking.
Built-in constraints - 02
Bin packing
Pack items into as few bins as possible without overloading any of them.
Built-in constraints - 03
Knapsack & selection
Choose the most valuable subset under one or more budgets, with mandatory items, dependencies and group limits.
Built-in constraints - 04
Assembly line balancing
Assign tasks to stations along a line so that precedence holds and no station exceeds the cycle time.
Built-in constraints - 05
Quadratic assignment
Place facilities in locations so that heavy flows travel short distances — layouts, wiring and slotting.
Built-in constraints - 06
Max-cut & partitioning
Split a weighted graph into two sides to maximize the weight crossing between them, with balance and pairing rules.
Built-in constraints
Your rules are different. That is the point.
Tell us how you plan today and what keeps breaking. We will map it to a model and show you the result on your own data.
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