Determine the possible range for each parameter.The difficulty with this one-variable-at-a-time approach is that patience and money are likely to run out before the list of parameters is completed. Furthermore, parameter interaction sensitivities cannot be identified using a one-variable-at-a-time approach (Gunter 1990). Consider the situation with ten parameters, each of which is tested for a high, a medium, and a low

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Systems theory (ST) can provide the developing systems of systems engineering (SoSE) field and practice with a strong conceptual foundation. ST is presented as a taken for granted set of axioms and corresponding propositions that explain the phenomena, patterns, and tendencies of complex systems. The results of ST are observable in the behavior and performance of systems. We argue that ST offers a critical grounding for the future development and practice of SoSE. Our exploration examines the necessity, contributions, and implications of ST as an influential conceptual foundation to accelerate and guide SoSE development and practice.

Complex system governance (CSG) is an emerging field encompassing a framework for system performance improvement through the purposeful design, execution, and evolution of essential metasystem functions. The goal of this study was to understand how the domain of asset management (AsM) can leverage the capabilities of CSG. AsM emerged from engineering as a structured approach to organizing complex organizations to realize the value of assets while balancing performance, risks, costs, and other opportunities. However, there remains a scarcity of literature discussing the potential relationship between AsM and CSG. To initiate the closure of this gap, this research reviews the basics of AsM and the methods associated with realizing the value of assets. Then, the basics of CSG are provided along with how CSG might be leveraged to support AsM. We conclude the research with the implications for AsM and suggested future research.