Modeling complex systems has become a common tool in many fields, especially in engineering, mathematics, military, and transport sciences. It provides a relatively inexpensive way to gather information for decision making. Since the size and complexity of real systems in these areas rarely allow analytical solutions to provide the information, simulation has become the method of choice. For industrial processes, discrete event simulation is a method allowing to model systems decomposed into individual processes advancing in time based on events of other processes. This paper describes an implementation of the aspects of reliability availability and maintainability (RAM) into a discrete event simulation (DES) tool in order to perform architecture choices and allocation based on both physical behavior and RAM considerations in the design phase of an industrial process. The model is implemented in MATLAB, and more precisely within the SimEvents module. A special block element was developed in the SimEvents environment to consider random failures (and associated repair actions) of the components participating in the flow process of a system. The impacts of these random failures are then confronted with the availability and capability requirements of a system to perform at required level while taking into account the management of the various resources (operators, maintenance people, etc.).