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Optimization model for long range planning in the chemical industry

1989; Elsevier BV; Volume: 13; Issue: 9 Linguagem: Inglês

10.1016/0098-1354(89)87046-2

1873-4375

Nikolaos V. Sahinidis, Ignacio E. Grossmann, R.E. Fornari, M. Chathrathi,

Reservoir Engineering and Simulation Methods

In this paper a multiperiod MILP model is presented for the optimal selection and expansion of processes given time varying forecasts for the demands and prices of chemicals over a long range horizon. To reduce the computational expense of solving this long range planning problem, several strategies are investigated, including branch and bound, the use of integer cuts, strong cutting planes, Benders decomposition and heuristics. These procedures, which have been implemented in the program MULPLAN, are illustrated with several example problems. As is shown, the proposed model is especially useful for the study of a variety of different scenarios.