This paper presents a novel approach for the incorporation of future p
lan feasibility and potential economic risk in planning problems under
uncertainty. It is based on the concepts of plan flexibility and regr
et as measures of the impact of uncertainty on the future plan operati
on and economics. For two-period linear planning models, analytical ex
pressions of flexibility and regret as functions of the uncertain para
meters are obtained with which an optimal plan can be determined that
maximizes an expected profit while ensuring operability and monitoring
financial risk. An important feature of this new planning framework i
s that, in contrast to previous approaches, it neither requires discre
tization of the uncertainty nor is centered on worst-case consideratio
ns. An example is presented to illustrate the steps of the algorithmic
procedure.