Abstract
A systematic procedure for the design of multipurpose batch plants subject to uncertain demands is proposed. The approach relies on the sequential refinement of upper and lower bounds on a stochastic flexibility index (SF). An optimization procedure is presented for the case of uncertain demands and discrete sizes of processing units. The procedure consists of the solution of a sequence of MILP problems. It guarantees the selection of the plant design with the best flexibility index value (within a given tolerance). The method is demonstrated on a case study.
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