An Milp Process Optimization Model For A Petrochemical Complex.

Abstract

This paper develops a multiperiod mixed integer nonlinear programming (MINLP)
model for planning the production and operation of a real world petrochemical complex.
Solving the MINLP model directly results in inconsistency in solution quality and time.
Therefore, a reformulation and linearization technique is first applied to the bilinear terms of
the model to obtain an mixed integer linear programming (MILP) formulation which is the
initial point to solve the NLP obtained by the reformulation of the MINLP. The model is
solved with GAMS 2.25 using OSL and CONOPT2. Two case scenarios are shown to
illustrate the scope of this model.