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Modelling and Optimizing Batch Processes in the Chemical Industry

In: Math Everywhere

Author

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  • Rainer E. Burkard

    (Graz University of Technology)

  • Johannes Hatzl

    (Graz University of Technology)

Abstract

In this paper we investigate two different models for minimizing the makespan of batch processes by mixed-integer linear programming models. Special emphasis is laid on a small number of binary variables and on valid constraints. After a reformulation of the objective function, it is for the first time possible to find optimal solutions for medium-sized benchmark problems. Furthermore, a powerful iterative construction heuristic for larger-sized problems is developed.

Suggested Citation

  • Rainer E. Burkard & Johannes Hatzl, 2007. "Modelling and Optimizing Batch Processes in the Chemical Industry," Springer Books, in: Giacomo Aletti & Alessandra Micheletti & Daniela Morale & Martin Burger (ed.), Math Everywhere, pages 279-290, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-44446-6_23
    DOI: 10.1007/978-3-540-44446-6_23
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