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Applying traditional mathematical programming techniques to problems in production planning can lead to tremendous challenges. These include non-linearities, very large numbers of constraints, and weak linear programming relaxations. To ensure tractability, problems are often either simplified in scope or limited in instance size, resulting in solutions that may no longer address important real-world issues. As an alternative, we consider the use of models based on composite variablesdoi:10.1080/07408170802512594 fatcat:hl3icprbpjg4rkcgb6ydpkhequ