Approved for public release, distribution is unlimited / This thesis is concerned with the operational benefit of the Integrated Mechanical Diagnostics Health and Usage Management Systems (IMD HUMS) rotor track and balance (RTB) functionality. The questions addressed are whether there is a savings in flight hours expended on functional check flights (FCF's) when compared to present practices, if there will there be a reduction in directed maintenance man-hours (DMMH) spent on maintenance related to the rotor system, and the impact on Operational Availability. Experiments were conducted using a discrete event simulation model of squadron flight operations and organizational level maintenance. The simulation is generic and can be used in the analysis of other helicopters. Input parameters governing the distributions of maintenance action inter-arrival times were estimated from Naval Aviation Logistics Data Analysis (NALDA) databases and squadron experiences on such systems. The analysis suggests that flight hours spent in FCF are dependent upon vibration growth rate, an unknown quantity, and the maintenance policy for rotor smoothing. Directed maintenance man-hours decrease with increasing numbers of IMD HUMS configured aircraft and further gains are achieved with a maintenance policy suited to a continuous monitoring system. / Captain, United States Marine Corps

Many complex and interdependent systems engineering challenges involve more than one stakeholder or decision maker. These challenges, such as the definition and acquisition of future air mobility systems, are often found in situations where resources are finite, objectives are conflicting, constraints are restricting, and uncertainty in future outcomes prevail. Air mobility operational models which simulate fleet wide behavior effects over time, in various mission scenarios, and potentially over the entire design life-cycle, are always multi-dimensional, cover a large decision space, and require significant time to generate sufficient solutions to adequately describe the design space. This challenge is coupled with the fact that, in these highly integrated solutions or acquisitions, multiple stakeholders or decision makers are required to cooperate and reach agreement in selecting or defining the requirements for the design or solution and in its costly and lengthy implementation. However, since values, attitudes, and experiences are different for each decision maker, reaching consensus across the multiple criteria with different preferences and objectives is often a slow and highly convoluted process. In response to these common deficiencies and to provide quantitative analyses, this research investigates and proposes solutions to two challenges: 1) increase the speed at which operational solutions and associated requirements are generated and explored, and 2) systematize the group decision-making process, to both accelerate and improve decision making in these large operational problems requiring cooperation. The development of the Air Mobility Operations Design (AirMOD) model is proposed to address the first challenge by implementing and leveraging surrogate models of airlift capability across a wide scenario space. In addressing the second major challenge, the proposed Multi-Agent Consensus Reaching on the Objective Space (MACRO) methodology introduces a process to reduce the feasible decision space, by identifying regions of high probability of consensus reaching, using preference distributions, power relationships, and game-theoretic techniques. In a case study, the MACRO methodology is demonstrated on a large air mobility solution space generated by AirMOD to illustrate plausibility of the overall approach. AirMOD and MACRO offer considerable advantages over current methods to better define the operational design space and improve group decision-making processes requiring cooperation, respectively.

Thesis (MComm)--Stellenbosch University, 2014. / ENGLISH ABSTRACT: The South African National Defence Force (SANDF) is deploying locally, regionally and internationally for peacekeeping operations and tasks other than peacekeeping. It is imperative that it succeed in these missions in order for the country, region and the world to develop. However, in order for the SANDF to realize success those responsible for the task of peacekeeping have to be combat ready, and particularly perceive themselves to be combat ready, they have to measure high on psychological wellbeing and should have no psychosocial and/or psychological problems such as depression, anxiety and social dysfunction, but must have a high level of willingness to deploy. SANDF deployment in Africa is voluntary and depends on those members who are willing to deploy to extract Africa out of the mire of squalor and poverty and conflict. It is only when there is peace that development and proper governance can be achieved, hence the need to use the SANDF as a foreign policy tool to bring about peace in Africa. The aim of the study was to explore the impact of psychological wellbeing (PWB) general health (GH) and perceived combat readiness (PCR) on willingness to deploy (WD) in the SANDF. A non-experimental, exploratory study was employed this study. Participants were drawn from the Army (n=465) from the rank of private to colonel. Participants completed valid reliable instruments measuring PWB; PCR; GH; and WD. PWB was measured in terms of self-acceptance, positive relations with others, autonomy, purpose in life, environmental mastery, and personal growth. PCR was measured in terms of family support, confidence (in all its dimensions), morale, and cohesion and unit discipline. GH was measured in terms of somatic symptoms, anxiety/insomnia, social dysfunction and depression. WD was measured by using 12 questions with a sample question such as: “In the event of an invasion by an enemy force into the RSA, to what extent will you be willing to go into combat?” Correlation analysis was done to determine the relationship between the independent variables and the dependent variable. Multiple regression analysis was done to determine which of the independent variables contributed most to WD of members of the SANDF The results revealed a significant positive relationship between PWB (and its dimensions, except self-acceptance and positive relations with others) and WD, and PCR (and its dimensions, except unit disciple) and WD. GH was annulled for its potential not to explain any variance in the model because almost all participants scored zero on all subscales. The multiple regression analysis was in line with correlation results showing that total PCR (strongest predictor) made a significant contribution in explaining and predicting WD. PWB made a contribution in explaining and predicting WD, but not as strong as PCR. The PCR dimensions that individually contribute significantly in explaining and predicting WD are self-confidence, horizontal cohesion and confidence in the leader. The conclusion that is drawn from this study is that total PCR and total PWB contribute to willingness to deploy.