Summary
In the process industries, final products arise from chemical and physical transformations of materials on processing units. In batch production mode, the total requirements for intermediate and final products are divided into individual batches. Storage facilities of limited capacity are available for stocking raw materials, intermediates, and final products. We present a novel approach to solving large-scale instances of the minimum-makespan production scheduling problem. The basic idea consists in constructing a production schedule by concatenating copies of a cyclic subschedule. For generating an appropriate subschedule we formulate a mixed-integer nonlinear program providing the set of batches of one cycle and the number of cycles needed to satisfy the primary requirements. The subschedule is then obtained by allocating the processing units, intermediates, and storage facilities over time to the batches executed in the cycle.
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Trautmann, N., Schwindt, C. (2006). A Heuristic Method for Large-Scale Batch Scheduling in the Process Industries. In: Haasis, HD., Kopfer, H., Schönberger, J. (eds) Operations Research Proceedings 2005. Operations Research Proceedings, vol 2005. Springer, Berlin, Heidelberg . https://doi.org/10.1007/3-540-32539-5_25
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DOI: https://doi.org/10.1007/3-540-32539-5_25
Publisher Name: Springer, Berlin, Heidelberg
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