New answers tagged network-flow
4
Assumption: Treatment takes one day.
Objective: We would like to maximize the total number of patients treated.
Sets: Patient types are denoted with index $i \in I$, machines with $j \in J$, and days with $t \in T$.
Parameters: Let $d_{it}$ be the number of patients of type $i$ to start treatment on day $t$; and $s_{jt}$ denotes the number of available ...
0
A formulation for an OptaPlanner or OptaPy model:
enum PatientType {TYPE_1, TYPE_2, TYPE_3}
class Day {
int capacity;
Map<PatientType, double> effectivenessMap;
}
@PlanningEntity
class Patient {
String name;
PatientType type;
@PlannningVariable Day day;
}
// Don't plan more appointments than capacity
Constraint capacityConstraint(...
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