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Author: | Sahinidis, N. V. Grossman, I. E. |
Title: | Reformulation of the multiperiod MILP model for capacity expansion of chemical processes |
Journal: | Operations Research
1992 : JAN-FEB, VOL.40:SUP.1, p.S127-S144 |
Index terms: | PLANNING CHEMICAL INDUSTRY TECHNOLOGY CAPACITY LOT-SIZE MODEL LINEAR PROGRAMMING INTEGER PROGRAMMING |
Language: | eng |
Abstract: | The long-range planning problem for capacity expansion of a chemical complex can be solved as a series of independent lot sizing problems when the flows in the network are fixed. To take advantage of this property, a variable disaggregation technique has been proposed which led to two different ways of reformulating the conventional mixed integer linear programming (MILP) model. The first reformulation led to a model which can be solved as an NLP and an efficient way to take advantage of this special properties was proposed in order to quickly find a good suboptimal solution. The second is an MILP reformulation for exact solutions which leads to faster computational results. |
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