Why do systems engineering and operations research use many of the same analytical techniques?

Systems engineering and operations research share many of the same analytical techniques primarily because they both rely on a systems-oriented approach to evaluate performance and optimize complex interactions.123

The overlap exists largely because a systems engineer often evaluates the effectiveness of a tentative design using the same quantitative methods that an operations research specialist would apply to existing hardware. Both fields utilize mathematical models—sets of equations, tables, or curves—to describe system interactions and predict outcomes. These models allow practitioners to conduct trade-off studies, which are essential for determining how to achieve performance goals in the most economical manner.21

Furthermore, the historical distinction between the two fields—where systems engineering focused on developing new equipment and operations research on the employment of existing systems—has blurred as both disciplines have matured. Because the "newness" of equipment is often a matter of degree and judgment, the analytical tools used to manage and optimize these systems have become increasingly interchangeable. Both fields employ the scientific method to provide an objective, quantitative basis for decision-making within organized systems.425