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Full-Text Articles in Engineering
Utilizing Strategic Project Management Processes And The Nato Code Of Best Practice To Improve Management Of Experimentation Events, Andreas Tolk, Rafael E. Landaeta, Robert H. Kewley, Thomas T. Litwin
Utilizing Strategic Project Management Processes And The Nato Code Of Best Practice To Improve Management Of Experimentation Events, Andreas Tolk, Rafael E. Landaeta, Robert H. Kewley, Thomas T. Litwin
Computational Modeling & Simulation Engineering Faculty Publications
Systems engineering and project management are two core engineering management processes supported by core quantitative disciplines within engineering management problems. Traditional approaches to systems engineering focus on a single system being engineered and managed (i.e., project managed), while challenges addressing composition of systems of systems and the reuse of systems for new solutions require a strategic management approach that promote a process flow in which the outputs of one project (e.g., deliverables, knowledge, work documents) are captured for the benefit of other projects within and outside the project-based organization. Two other core processes of engineering management are therefore critical to …
Sensitivity Analysis Framework For Large And Complex Simulation Models, Ghaith Rabadi, Shannon Bowling, Charles Keating, Resit Unal
Sensitivity Analysis Framework For Large And Complex Simulation Models, Ghaith Rabadi, Shannon Bowling, Charles Keating, Resit Unal
Engineering Management & Systems Engineering Faculty Publications
In this paper, a framework for conducting Sensitivity Analysis (SA) on large and complex simulation models is introduced. The framework consists of components that are designed to make the SA a systematic process that is easy to manage and follow by simulation analysts and practitioners. Unlike local SA (one-variable-at-a-time SA), the method presented here is variance-based and it is rooted in the field of Design of Experiments (DoE) where Input Variables are varied and Output Variables are measured. Based on the DoE results, a risk scoring system is developed to identify the sensitivity of the Input Variables, and as a …