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The assignment model in operations research is used to optimally allocate resources to tasks to minimize costs or maximize efficiency, formulated by defining costs associated with assigning resources to tasks, establishing constraints for each resource and task, and using methods like the Hungarian algorithm to find the optimal assignment that satisfies all requirements.
The Operations Research Assignment Model allocates tasks to agents efficiently using a cost or profit matrix, where rows represent tasks and columns represent agents. Its objective is to minimize costs or maximize profits, ensuring each task is assigned to one agent and vice versa. The Hungarian Method is commonly used to find optimal assignments, making this model valuable in areas like workforce allocation and scheduling, where effective resource distribution is crucial.