By Gabriela Corsano; et al

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With these ratios, it is possible to envisage different campaign configurations. Then, different structures for the mixed campaign are proposed. Taking into account that the approach is applied to problems with a moderate number of products and stages where the model detail is emphasized, the number of campaigns to be planned is manageable. Once the campaign is defined, the appropriate sequence constraints are added to the relaxed model and thus the design and operation integrated problem of a sequential multipurpose plant is solved.

The solution of the model (iv) coincides with that obtained in the NLP superstructure model. A comment on the CPU resolution time is that the differences are not so significant (of the same order of magnitude). Anyway this depends strongly on diverse factors, for example the initialization of variables. Nevertheless, it is 32 Gabriela Corsano, Jorge M. Montagna, Oscar A. Iribarren et al. necessary to emphasize that, ahead of the comparison of the resolution times, the MINLP model requires a greater effort for the generation of the different options.

Iribarren et al. exponent coefficient βp is less than one. For that reason, the unit sizes of nonoptimal alternatives will be equal to zero. According to this problem formulation, a set of constraints are developed. First of all, the required demand Q should be satisfied. 2) At the last stage of the last operation, the final product is obtained. 3) where plast corresponds to the last operation of the process and jlast to the last stage in each option a. Therefore, PR plast ,a represents the production rate achieved at each alternative a in the last operation.

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