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Now, suppose that there are ''four'' taxis available, but still only three customers. This is an ''unbalanced assignment'' problem. One way to solve it is to invent a fourth dummy task, perhaps called "sitting still doing nothing", with a cost of 0 for the taxi assigned to it. This reduces the problem to a balanced assignment problem, which can then be solved in the usual way and still give the best solution to the problem.
An alternate example: Suppose the military wants to assign its soldiers (the agents) to particular countries (tasks). Each soldier has a ranked list of countries they want to go to (
Similar adjustments can be done in order to allow more tasks than agents, tasks to which multiple agents must be assigned (for instance, a group of more customers than will fit in one taxi), or maximizing profit rather than minimizing cost.
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