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moheetsubudhi-isb/optimization-toolkit

v1.0.0MIT

Decision-science skills for turning business decisions into optimisation models, writing business rules correctly, allocating scarce supply fairly, choosing exact solvers or heuristics, and testing models before go-live.

shortage-allocation-fairness

Decide who gets what when there is not enough to go round, and explain the trade-off between efficiency and fairness to the people affected. Use when a planning or optimisation model is infeasible because demand exceeds supply; when a plan starves one customer, store, region or team while another gets everything; when allocating scarce stock, budget, capacity, staff, delivery slots, appointments or medicines; when someone asks for a fair, equal, proportional or priority-based allocation, min-max, a penalty for unmet demand or slack variables; or when stakeholders reject an optimiser's plan as unfair even though it has the lowest total cost. Not for testing, validating or signing off an allocation model that already works.

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