Data envelopment analysis problems are usually maximization problems.

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Data envelopment analysis (DEA) is a mathematical programming approach used to evaluate the relative efficiency of decision-making units (DMUs) by comparing their inputs and outputs. In DEA problems, the objective is to maximize the weighted sum of outputs relative to inputs, subject to the constraint that each DMU cannot be made more efficient than its peers. Therefore, DEA problems are typically formulated as maximization problems.

Data Envelopment Analysis Problems Are Usually Maximization Problems