Aerospace management techniques: Commercial and governmental applications

A guidebook for managers and administrators is presented as a source of useful information on new management methods in business, industry, and government. The major topics discussed include: actual and potential applications of aerospace management techniques to commercial and governmental organizations; aerospace management techniques and their use within the aerospace sector; and the aerospace sector's application of innovative management techniques

Considerations for a design and operations knowledge support system for Space Station Freedom

Engineering and operations of modern engineered systems depend critically upon detailed design and operations knowledge that is accurate and authoritative. A design and operations knowledge support system (DOKSS) is a modern computer-based information system providing knowledge about the creation, evolution, and growth of an engineered system. The purpose of a DOKSS is to provide convenient and effective access to this multifaceted information. The complexity of Space Station Freedom's (SSF's) systems, elements, interfaces, and organizations makes convenient access to design knowledge especially important, when compared to simpler systems. The life cycle length, being 30 or more years, adds a new dimension to space operations, maintenance, and evolution. Provided here is a review and discussion of design knowledge support systems to be delivered and operated as a critical part of the engineered system. A concept of a DOKSS for Space Station Freedom (SSF) is presented. This is followed by a detailed discussion of a DOKSS for the Lyndon B. Johnson Space Center and Work Package-2 portions of SSF

War-Gaming Applications for Achieving Optimum Acquisition of Future Space Systems

This chapter describes an innovative modeling and simulation approach using newly proposed Advanced Game-based Mathematical Framework (AGMF), Unified Game-based Acquisition Framework (UGAF) and a set of War-Gaming Engines (WGEs) to address future space systems acquisition challenges. Its objective is to assist the DoD Acquisition Authority (DAA) to understand the contractor’s perspective and to seek optimum Program-and-Technical-Baseline (PTB) solution and corresponding acquisition strategy under both the perspectives of the government and the contractors. The proposed approach calls for an interdisciplinary research that involves game theory, probability and statistics, and non-linear programming. The goal of this chapter is to apply the proposed war-gaming frameworks to develop and evaluate PTB solutions and associated acquisition strategies in the context of acquisition of future space systems. Our simulation results suggest that our optimization problem for the acquisition of future space systems meets the affordability and innovative requirements with minimum acquisition risk

Unmanned and Autonomous Systems of Systems Test and Evaluation: Challenges and Opportunities

The introduction of Unmanned and Autonomous Systems (UAS) brings substantial, interesting, and in many cases, new challenges to the Department of Defense’s Test and Evaluation community. The test and evaluation of UASs becomes significantly more complicated than traditional systems, especially as we approach more fully autonomous systems and need to test integrated systems of systems in joint military operational testing environments. Compounding the multi-faceted considerations involved in test and evaluation, systems have continuously increasing complexity and capabilities and can be at different maturity levels. Emergent properties, particularly those that are unplanned and undesired, also need to be considered. Challenges identified by the Unmanned and Autonomous Systems Test community and related to the test and evaluation of the UASs are discussed. This paper presents various approaches for addressing these challenges including an innovative Prescriptive and Adaptive Testing Framework and decision support system, PATFrame

STATED INTENTIONS VS. ACTUAL BEHAVIOR: CHOICE-BASED CONJOINT (CBC) IN DOD SOURCE SELECTIONS

Current source selection procedures have exposed the Department of Defense (DoD) to increased protest risk. This, in part, is due to contradictions in the U.S. government’s stated order of importance for acquisition evaluation criteria (pre-award) versus its actual choice behavior during source selection, as Butler found in 2014. The objectives of this MBA project included the following: 1) Determine the degree of disconnect between stated preferences during pre-award acquisition phase and actual choice behavior in source selections. 2) Develop an understanding of quality attributes for logistics-based services. 3) Provide a Choice-Based Conjoint (CBC) framework that could be utilized to enhance source selection criteria development. Methodology included interviews and spend analysis techniques to identify quality attributes of logistics-based acquisitions. Then, after the attributes were identified, they were employed to develop a CBC model that calculated the attribute utilities and relative importance for each attribute. Using these important scores, the disconnect between stated preferences and choice behavior was found. None of the subjects in this investigative study could accurately order attribute importance in stated form to match their actual choices in simulated source selections. This report offers a framework and methods to mitigate the weaknesses found in developing evaluation attribute importance from stated preferences and reduce the risks of protests.Outstanding ThesisFirst Lieutenant, United States Air ForceApproved for public release. Distribution is unlimited

The Joint Program Dilemma: Analyzing the Pervasive Role That Social Dilemmas Play in Undermining Acquisition Success

Tenth Annual Acquisition Research Symposium Acquisition ManagementExcerpt from the Proceedings of the Tenth Annual Acquisition Research Symposium Acquisition ManagementNaval Postgraduate School Acquisition Research ProgramPrepared for the Naval Postgraduate School, Monterey, CANaval Postgraduate School Acquisition Research ProgramApproved for public release; distribution is unlimited

Knowledge Transformation in the United States Air Force Civil Engineer Career Field: A System Dynamics Approach

Recent operations in Iraq and Afghanistan have brought the level of expeditionary contractors to historically unprecedented levels, altering the work composition for military engineers. The alteration has shifted emphasis from technical knowledge areas toward managerial knowledge associated with supervising the increased number of contractors. This research utilizes System Dynamics modeling to analyze this shift in the United States Air Force Civil Engineer officer career field and resulting transformative effect on career field knowledge levels, both technical and managerial. The model is then tested with multiple external policy adjustments in the areas of career field structure, training, and operating policy. Results indicate the shift from technical to managerial knowledge not only diminishes technical knowledge, but also hinders managerial knowledge which requires a strong technical foundation; this creates an overall degradation of both knowledge areas. Therefore, the external policies implemented focused on limiting technical knowledge loss. The recommended policy included a combination of additional technical training and bifurcation of entry-level officers to focus on core technical knowledge, simultaneously providing the foundation for successful managerial knowledge levels

Software test and evaluation study phase I and II : survey and analysis

Issued as Final report, Project no. G-36-661 (continues G-36-636; includes A-2568

How Should Life Support Be Modeled and Simulated?

Why do most space life support research groups build and investigate large models for systems simulation? The need for them seems accepted, but are we asking the right questions and solving the real problems? The modeling results leave many questions unanswered. How then should space life support be modeled and simulated? Life support system research and development uses modeling and simulation to study dynamic behavior as part of systems engineering and analysis. It is used to size material flows and buffers and plan contingent operations. A DoD sponsored study used the systems engineering approach to define a set of best practices for modeling and simulation. These best practices describe a systems engineering process of developing and validating requirements, defining and analyzing the model concept, and designing and testing the model. Other general principles for modeling and simulation are presented. Some specific additional advice includes performing a static analysis before developing a dynamic simulation, applying the mass and energy conservation laws, modeling on the appropriate system level, using simplified subsystem representations, designing the model to solve a specific problem, and testing the model on several different problems. Modeling and simulation is necessary in life support design but many problems are outside its scope