  This paper process two robust models for site selection problems for one of
the major Hospitals in Hong Kong. Three parameters, namely, level of
uncertainty, infeasibility tolerance as well as the level of reliability, are
incorporated. Then, 2 kinds of uncertainty; that is, the symmetric and bounded
uncertainties have been investigated. Therefore, the issue of scheduling under
uncertainty has been considered wherein unknown problem factors could be
illustrated via a given probability distribution function. In this regard, Lin,
Janak, and Floudas (2004) introduced one of the newly developed strong
optimisation protocols. Hence, computers as well as the chemical engineering
[1069-1085] has been developed for considering uncertainty illustrated through
a given probability distribution. Finally, our accurate optimisation protocol
has been on the basis of a min-max framework and in a case of application to
the (MILP) problems it produced a precise solution that has immunity to
uncertain data.
