The objective of this paper is to develop an approach for the design o
f batch chemical processes, accounting for adaptive operating policies
to cope with varying parameters. The approach is novel in the sense t
hat it traces variations in process parameters, while previous approac
hes considered variations in size factors or cycle times. A process mo
del explicit on parameters and control variables is used. The approach
proposes to partition the operation of the plant in ''periods'' for w
hich it is possible to assign a set of values for the operating variab
les in order to adapt to each period occurrence of the varying paramet
ers. Thus, the solution approach is the optimization of a multiperiod
formulation. An analysis of the nature of perturbations was made, whic
h led to the proposal of different operating policies, depending on th
e variations' predictability, time scale and occurrence pattern. A fer
mentation downstream process is solved as a case study to illustrate t
he approach, considering variations of a single parameter. Afterwards,
we discuss the limitations of the approach and the direction of futur
e work. Considering adaptive operating policies at the design step lea
ds to plants less oversized and with lower operating costs. (C) 1996 E
lsevier Science Ltd