Abstract
We study the effects of production loss during setup in dynamic production scheduling for process industries producing several products on non-identical flexible processors. The production scheduling problem is formulated as a mixed integer programming model and solved using primal and dual Lagrangean based procedures. Real data from a tile company and randomly generated data were used to test the model. Our computational results show the solution procedure to be fast, robust and stable even for cases with large setup costs and production losses, and for cases with demands of up to 52 periods.
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