We design and manage complex engineering systems over their life cycles. handling issues such as requirements engineering, reliability, logistics, coordination of different teams, testing and evaluation, maintainability and many other disciplines necessary for successful system development, design, implementation, and ultimate decommission become more difficult when dealing with large or complex projects. Systems engineering deals with work-processes, optimization methods, and risk management tools in such projects. Systems engineering ensures that all likely aspects of a project or system are considered, and integrated into a whole. Systems engineering is really about trying to capture that complexity and manage it from the very beginning, and making sure that you've thought through all of those interdependencies. Systems thinking is not thingking systematically. Systems thinking enables us to translate complex customer requirements into solutions that deliver the performance we expect in a repeatable and a consistent way.
The promise of system architecture is to help prioritize the most impactful decisions on a given system. The promise of Model-Based System Engineering is to facilitate information search and to identify the propagation of design changes.