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Abstract
A method of scheduling aggregate production and work force is presented, which is applicable to the more complex and realistic cases found in many manufacturing concerns. The method is tested on a model which has a known optimal solution. The results indicate that the proposed method holds promise for yielding good results for models which cannot currently be solved for optimal solutions.