Acquisition of Additive Manufacturing Capabilities for Expeditionary Operations

Acquisition Research Program Sponsored Report SeriesSponsored Acquisition Research & Technical ReportsAdditive manufacturing (AM) has the potential to fundamentally change how military expeditionary operations are conducted. By manufacturing spare parts in remote sites, rather than relying on lengthy and extensive supply chains or remaining tethered to an “iron mountain” of logistics support, the expeditionary units have the potential to be more agile, to maintain their readiness at high levels while deployed, and to extend their operational reach. AM has enjoyed success in a number of specialty fields. Potential benefits for expeditionary units include achieving higher readiness at lower cost, because deployed units can use AM to create replacement parts at or near the point of demand, rather than either relying on carrying large quantities of spare parts or dealing with long lead times for replacements. Another potential benefit is the ability to reduce wastage of the materials used in the three-dimensional (3D) printing process and subsequent post-treatments by only producing what is needed. Finally, if the same compounds can be used to manufacture a variety of parts, AM could help forward-deployed units maintain a high level of readiness while dramatically reducing their logistics footprint. To realize this potential, program managers have several decisions to make. They must determine how best to acquire AM capabilities, what classes of components are suitable for AM, whether the resulting structural and reliability are comparable for components made using AM and current methods, and how differences in reliability may affect the supply chain and readiness levels. If the suitability and reliability are not factored into the decision-making process, then AM may end up being a costly and largely redundant logistics system running in parallel with the current supply chain, rather than being a transformative capability.Approved for public release; distribution is unlimited.Approved for public release; distribution is unlimited

Advancing the Application of Design of Experiments to Synthetic Theater Operations Research Model Data

NPS NRP Executive SummaryNavy leadership is interested in initiatives that can potentially increase the responsiveness of campaign analysis. Simulation-based campaign analysis is used to measure risk for investment options in how best to equip, organize, supply, maintain, train, and employ our naval forces. The Synthetic Theater Operations Research Model (STORM) is a stochastic simulation model used to support campaign analysis by the U.S. Navy, Marine Corps, and Air Force. Building, testing, running, and analyzing campaign scenarios in STORM is a complex, time-consuming process. A simulated campaign may span months, involve scores of ships and battalions, hundreds of aircraft and installations, all executing thousands of interconnected missions involving numerous events in time and space. Creating, testing, and approving the inputs for a single design point (DP) requires a significant investment in analysts’ time and computing resources. Consequently, there are limits on the number of DPs that can be produced, executed, and analyzed during a study’s timeframe.N8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098).Approved for public release. Distribution is unlimited

Spatial and Temporal Trends in Travel for COVID-19 Vaccinations

Highlights : Disparities in distances people traveled for vaccinations by demographics exist. Males and White people traveled longer distances for vaccination appointments. Travel distances of over 10 miles for vaccination likely required motorized transportation. Introduction: Understanding spatial and temporal trends in travel for COVID-19 vaccinations by key demographic characteristics (i.e., gender, race, age) is important for ensuring equitable access to and increasing distribution efficiency of vaccines and other health services. The aim of this study is to examine trends in travel distance for COVID-19 vaccinations over the course of the vaccination rollout in North Carolina. Methods: Data were collected using electronic medical records of individuals who had first- or single-dose COVID-19 vaccination appointments through UNC Health between December 15, 2020, and August 31, 2021 (N = 204,718). Travel distances to appointments were calculated using the Euclidean distance from individuals’ home ZIP code centroids to clinic addresses. Descriptive statistics and multivariable regression models with individuals’ home ZIP codes incorporated as fixed effects were used to examine differences in travel distances by gender, race, and age. Results: Males and White individuals traveled significantly farther for vaccination appointments throughout the vaccination rollout. On average, females traveled 14. 4 miles, 3.5% shorter distances than males; Black individuals traveled 13.6 miles, 10.0% shorter distances than White individuals; and people aged 65 and older traveled 14.5 miles, 2.6% longer distances than younger people living in the same ZIP code. Conclusions: Controlling for socioeconomic status and spatial proximity to vaccination clinics at the ZIP code level, males and White individuals traveled longer distances for vaccination appointments, demonstrating more ability to travel for vaccinations. Results indicate a need to consider differential ability to travel to vaccinations by key demographic characteristics in COVID-19 vaccination programs and future mass health service delivery efforts

Transportation barriers to care among frequent health care users during the COVID pandemic

Background: Transportation problems are known barriers to health care and can result in late arrivals and delayed or missed care. Groups already prone to greater social and economic disadvantage, including low-income individuals and people with chronic conditions, encounter more transportation barriers and experience greater negative health care consequences. Addressing transportation barriers is important not only for mitigating adverse health care outcomes among patients, but also for avoiding additional costs to the health care system. In this study, we investigate transportation barriers to accessing health care services during the COVID-19 pandemic among high-frequency health care users. Methods: A web-based survey was administered to North Carolina residents aged 18 and older in the UNC Health system who were enrolled in Medicaid or Medicare and had at least six outpatient medical appointments in the past year. 323 complete responses were analyzed to investigate the prevalence of reporting transportation barriers that resulted in having arrived late to, delayed, or missed care, as well as relationships between demographic and other independent variables and transportation barriers. Qualitative analyses were performed on text response data to explain transportation barriers. Results: Approximately 1 in 3 respondents experienced transportation barriers to health care between June 2020 and June 2021. Multivariate logistic regressions indicate individuals aged 18–64, people with disabilities, and people without a household vehicle were significantly more likely to encounter transportation barriers. Costs of traveling for medical appointments and a lack of driver or car availability emerged as major transportation barriers; however, respondents explained that barriers were often complex, involving circumstantial problems related to one’s ability to access and pay for transportation as well as to personal health. Conclusions: To address transportation barriers, we recommend more coordination between transportation and health professionals and the implementation of programs that expand access to and improve patient awareness of health care mobility services. We also recommend transportation and health entities direct resources to address transportation barriers equitably, as barriers disproportionately burden younger adults under age 65 enrolled in public insurance programs

IU Libraries Discovery Layer Task Force Summary Report and Recommendation

The IU Libraries OLE Discovery Layer Task Force reviewed the candidate applications (Blacklight and VuFind) for a new public interface for IUCAT, in terms of how each best supports discovery for the IU Libraries. The Task Force created a rubric of core functionality required by all campuses in a catalog user interface, organized into several broad areas. Criteria have been designated as required, highly desirable, or desirable, and each product has been reviewed and rated according to the rubric (attached as an appendix). This report was prepared for the IU Council of Head Librarians

Advancing the Application of Design of Experiments (DOE) to Synthetic Theater Operations Research Model (STORM) Data

NPS NRP Project PosterThe Navy uses simulation-based campaign analysis to help measure risk for investment options for how best to equip, organize, supply, maintain, train, and employ our naval forces. The Synthetic Theater Operations Research Model (STORM) is a stochastic simulation model used to support campaign analysis by the U.S. Navy, Marine Corps, and Air Force. Building, testing, running, and analyzing campaign scenarios in STORM can be a complex, time-consuming process. The goal of this research is to apply Design Of Experiment (DOE) methods in the selection and creation of Design Points (DPs) to minimize the number of modeling runs required for meaningful comparisons. Another objective is to understand how best DOE methods can complement traditional baseline and excursion modeling. In addition to regular reviews, the research deliverables will include: (1) a final brief and/or technical report, in addition to student theses (if applicable); (2) all findings, methods, and data used in the study; and (3) appropriate conference or journal papers related to this research.N8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Advancing the Application of Design of Experiments (DOE) to Synthetic Theater Operations Research Model (STORM) Data

NPS NRP Technical ReportThe Navy uses simulation-based campaign analysis to help measure risk for investment options for how best to equip, organize, supply, maintain, train, and employ our naval forces. The Synthetic Theater Operations Research Model (STORM) is a stochastic simulation model used to support campaign analysis by the U.S. Navy, Marine Corps, and Air Force. Building, testing, running, and analyzing campaign scenarios in STORM can be a complex, time-consuming process. The goal of this research is to apply Design Of Experiment (DOE) methods in the selection and creation of Design Points (DPs) to minimize the number of modeling runs required for meaningful comparisons. Another objective is to understand how best DOE methods can complement traditional baseline and excursion modeling. In addition to regular reviews, the research deliverables will include: (1) a final brief and/or technical report, in addition to student theses (if applicable); (2) all findings, methods, and data used in the study; and (3) appropriate conference or journal papers related to this research.N8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Advancing the Application of Design of Experiments (DOE) to Synthetic Theater Operations Research Model (STORM) Data

NPS NRP Executive SummaryThe Navy uses simulation-based campaign analysis to help measure risk for investment options for how best to equip, organize, supply, maintain, train, and employ our naval forces. The Synthetic Theater Operations Research Model (STORM) is a stochastic simulation model used to support campaign analysis by the U.S. Navy, Marine Corps, and Air Force. Building, testing, running, and analyzing campaign scenarios in STORM can be a complex, time-consuming process. The goal of this research is to apply Design Of Experiment (DOE) methods in the selection and creation of Design Points (DPs) to minimize the number of modeling runs required for meaningful comparisons. Another objective is to understand how best DOE methods can complement traditional baseline and excursion modeling. In addition to regular reviews, the research deliverables will include: (1) a final brief and/or technical report, in addition to student theses (if applicable); (2) all findings, methods, and data used in the study; and (3) appropriate conference or journal papers related to this research.N8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Applying Design of Experiments (DOE) to Improve Synthetic Theater Operations Research Model (STORM) Data

NPS NRP Project PosterThe Navy uses simulation-based campaign analysis to help measure risk for investment options for how best to equip, organize, supply, maintain, train, and employ our naval forces. The Synthetic Theater Operations Research Model (STORM) is a stochastic simulation model used to support campaign analysis by the U.S. Navy, Marine Corps, and Air Force. Building, testing, running, and analyzing campaign scenarios in STORM can be a complex, time-consuming process. The goal of this research is to apply design of experiment (DOE) methods in the selection and creation of design points (DPs) to minimize the number of modeling runs required for meaningful comparisons. Another objective is to understand how best DOE methods can complement traditional baseline and excursion modeling. In addition to regular reviews, the research deliverables will include: (1) A final brief and/or technical report, in addition to student theses (if applicable) (2) all findings, methods, and data used in the study; and (3) appropriate conference or journal papers related to this research.N8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Applying Design of Experiments (DOE) to Improve Synthetic Theater Operations Research Model (STORM) Data

NPS NRP Executive SummaryThe Navy uses simulation-based campaign analysis to help measure risk for investment options for how best to equip, organize, supply, maintain, train, and employ our naval forces. The Synthetic Theater Operations Research Model (STORM) is a stochastic simulation model used to support campaign analysis by the U.S. Navy, Marine Corps, and Air Force. Building, testing, running, and analyzing campaign scenarios in STORM can be a complex, time-consuming process. The goal of this research is to apply design of experiment (DOE) methods in the selection and creation of design points (DPs) to minimize the number of modeling runs required for meaningful comparisons. Another objective is to understand how best DOE methods can complement traditional baseline and excursion modeling. In addition to regular reviews, the research deliverables will include: (1) A final brief and/or technical report, in addition to student theses (if applicable) (2) all findings, methods, and data used in the study; and (3) appropriate conference or journal papers related to this research.N8 - Integration of Capabilities & ResourcesThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.