In any Chemical Process Industry, it is necessary to assess the consequences of unexpected events such as equipment failures, change of raw material prices and product demand. In this work, these unexpected events are called scenarios, which allow the determination of operational strategies that are economically optimal and keep the plant within a chosen regime in the state space. This is achieved by the consideration of several scenarios. The formulations in this paper are based on a unifying model framework containing both discrete and continuous dynamics. Taking the case of a single scenario, Differential Evolution is used for the scenariointegrated dynamic optimization of the formulated problem. The applicability of this technique is demonstrated with an example.