Short-term scheduling

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Sanmartf, E., Friedler, E, Puigjaner, L., 1998. Combinatorial technique for short term scheduling of multipurpose batch plants based on schedule-graph representation. Comput. Chem. Eng., 22(Suppl.) S847-S850 

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Kondili, E., Pantalides, C.C., and Sargent, R.H.W., A general algorithm for short-term scheduling of batch operations. I. MILP formulation. Comput. Chem. Eng. 17 (2) 211-228 (1993). 

The main challenge in short-term scheduling emanates from time domain representation, which eventually influences the number of binary variables and accuracy of the model. Contrary to continuous-time formulations, discrete-time formulations tend to be inaccurate and result in an explosive binary dimension. This justifies recent efforts in developing continuous-time models that are amenable to industrial size problems. 

Ierapetritou, M.G., Floudas, C.A., 1998. Effective continuous-time formulation for short-term scheduling. 1. Multipurpose batch processes. Ind. Eng. Chem. Res., 37 4341-4359. 

MILP Optimization Models for Short-term Scheduling of Batch Processes... 

The classification in Figure 8.3 shows that there is a tremendous diversity of factors that must be accounted for in short-term scheduling making the task of developing unified general methods quite difficult. At the same time, there is the trade-off of having a number of specialized methods that can address specific cases of this classification. 

Fig. 8.4 Roadmap for optimization models for short-term scheduling of batch plants.

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