Abstract
The simultaneous problem of scheduling and optimization of operational conditions in multistage multiproduct continuous plants with intermediate storage is addressed. An MINLP model, named TSPFLOW that is based on the TSP formulation for product sequencing, is proposed to schedule the operation of such plants. TSPFLOW yields one order of magnitude CPU time reduction as well as the solution of instances larger than the ones formerly reported (Pinto and Grossmann, 1994). Secondly, processing rates and yields are introduced as additional optimization variables in order to state the simultaneous problem of scheduling with operational optimization. Results show that trade-offs are very complex and there is no straightforward method (“rule of thumb”) in order to optimally schedule the operation.
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