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Comparison of three scheduling methods for a batch process with a recycle

Authors
Identifiers
DOI: 10.1016/s1570-7946(02)80141-9
Disciplines
  • Computer Science
  • Mathematics

Abstract

Abstract A short term scheduling problem from an industrial case is modelled in three different ways. A discretized MILP-model, a heuristic approach and a genetic algorithm are tested. The scheduling task is complicated by a recycle connection. Storage capacity for raw materials and intermediates are restricted. Some productions steps are operated continuously and some in batch mode. A one-week schedule and a two-week schedule are constructed with different models and compared with industrial results. The genetic algorithm outperforms the other approaches, though the computational efforts are larger.

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