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Journal of Defense Analytics and Logistics
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  This is an Open Access Journal Open Access journal
ISSN (Print) 2399-6439 - ISSN (Online) 2399-6447
Published by Emerald Homepage  [360 journals]
  • Supply chain resilience: how autonomous rovers empirically provide relief
           to constrained flight line maintenance activities

    • Authors: Mary Ashley Stanton , Jason Anderson , John M. Dickens , Lance Champagne
      Abstract: The purpose of this research is to explore the utility of autonomous transport across two independent airframe maintenance operations at a single location. This study leveraged discrete event simulation that encompassed real-world conditions on a United States Air Force flight line. Though the Theory of Constraints (TOC) lens, a high-demand, human-controlled delivery asset is analyzed and the impact of introducing an autonomous rover delivery vehicle is assessed. The authors’ simulations explored varying numbers and networks of rovers as alternative sources of delivery and evaluated these resources’ impact against current flight line operations. This research indicates that the addition of five autonomous rovers can significantly reduce daily expediter delivery tasks, which results in additional expertise necessary to manage and execute flight line operations. The authors assert that this relief would translate into enhancements in aircraft mission capable rates, which could increase overall transport capacity and cascade into faster cargo delivery times, systemwide. By extension, the authors suggest overall inventory management could be improved through reduction in transportation shipping time variance, which enhances the Department of Defense’s overall supply chain resilience posture. When compared against existing practices, this novel research provides insight into actual flight line movement and the potential benefits of an alternative autonomous delivery system. Additionally, the research measures the potential savings in the workforce and vehicle use that exceeds the cost of the rovers and their employment.
      Citation: Journal of Defense Analytics and Logistics
      PubDate: 2022-06-07
      DOI: 10.1108/JDAL-10-2021-0013
      Issue No: Vol. 6 , No. 1 (2022)
  • Forecasting country conflict using statistical learning methods

    • Authors: Sarah Neumann , Darryl Ahner , Raymond R. Hill
      Abstract: This paper aims to examine whether changing the clustering of countries within a United States Combatant Command (COCOM) area of responsibility promotes improved forecasting of conflict. In this paper statistical learning methods are used to create new country clusters that are then used in a comparative analysis of model-based conflict prediction. In this study a reorganization of the countries assigned to specific areas of responsibility are shown to provide improvements in the ability of models to predict conflict. The study is based on actual historical data and is purely data driven. The study demonstrates the utility of the analytical methodology but carries not implementation recommendations. This is the first study to use the statistical methods employed to not only investigate the re-clustering of countries but more importantly the impact of that change on analytical predictions.
      Citation: Journal of Defense Analytics and Logistics
      PubDate: 2022-06-06
      DOI: 10.1108/JDAL-10-2021-0014
      Issue No: Vol. 6 , No. 1 (2022)
  • Transportation service level impact on aircraft availability

    • Authors: Vincent McLean , Adam D. Reiman
      Abstract: Aircraft fail to meet mission capable rate goals due to a lack of supply of aircraft parts in inventory where the aircraft breaks. This triggers an order at the repair location. To maximize mission capable rate, the time from order to delivery needs to be minimized. The purpose of this research is to examine the case of three airfields for the order to delivery time of mission critical aircraft parts for a specific aircraft type. This research captured data from three information systems to assess the order fulfillment process. The data were analyzed to determine the performance in fiscal year 2020. Using the model of that performance, the cost of reducing transportation times using publicly available commercial cost estimates was assessed against the impact on aircraft availability. The results indicate that paying the costs for expedited shipping would have increased aircraft availability by 1.09 times the average annual aircraft flying hours for the three cases. The cost for the equivalent of an additional aircraft for the year was a third of the annual straight-line depreciation for that aircraft type. This research assumed that the transportation time service levels publicly posted could be achieved. The weight of each mission critical part was not available, so the weight was selected from a probability distribution of mission critical part weights that was retrieved from prior research. This research provides options to enhance aircraft availability and identifies the associated costs. Adjusting the contract with transportation providers to reduce the transportation times of mission critical parts could have a large impact on aircraft availability at relatively little cost. This research could enhance aircraft readiness in service of the common defense. This research provides an effective methodology for enhancing military readiness through contract adjustments with commercial partners. The value of this research is that it will serve to adjust the value proposition of mission critical parts inside the United States Transportation Command’s Next Generation Delivery Service contract.
      Citation: Journal of Defense Analytics and Logistics
      PubDate: 2022-04-22
      DOI: 10.1108/JDAL-10-2021-0010
      Issue No: Vol. 6 , No. 1 (2022)
  • Pilot development: an empirical mixed-method analysis

    • Authors: Jonathan Slottje , Jason Anderson , John M. Dickens , Adam D. Reiman
      Abstract: Pilot upgrade training is critical to aircraft and passenger safety. This study aims to identify variances in the US Air Force C-130J pilot upgrade training based on geographic location and provide a model to enhance policy that will impact future pilot training efforts that lower cost and increase operator quality and proficiency. This research employed a mixed-method approach. First, the authors collected data and analyzed 90 C-130J pilots' aviation records and then contextualized this analysis with interviews of experts. Finally, the authors present a modified version of Six Sigma's define–measure–analyze–improve–control (DMAIC) that identifies and reduces the variances in C-130J pilot training, translating into higher quality outcomes. The results indicate significant statistical variances across geographically separated C-130J pilot training organizations. This leads some organizations to have higher proficiency levels in specific tasks and others with comparative deficiencies. Additionally, the data analysis in this study enabled a recommended number of flight hours in several distinct categories that should be obtained before upgrading a pilot to aircraft commander to enhance standards. This research was limited to C-130J pilot upgrades, but these results can be implemented within any field that utilizes hours as a measure of experience. Implications from this research can be employed to scope policy that will influence pilot training requirements across all airframes in civilian and military aviation. This research proposes a process improvement methodology that could be immediately implemented within the C-130J community and, more importantly, in any upgrade training where humans advance into higher echelons of a profession.
      Citation: Journal of Defense Analytics and Logistics
      PubDate: 2022-04-19
      DOI: 10.1108/JDAL-10-2021-0008
      Issue No: Vol. 6 , No. 1 (2022)
  • Analysis of vertical lift capabilities of US Navy (USN) in Humanitarian
           Assistance and Disaster Relief (HADR)

    • Authors: Aruna Apte , Scott Chirgwin , Ken Doerr , Davis Katakura
      Abstract: Vertical lift (VL) assets are vital and expensive resources in humanitarian missions. What and where supplies are needed evolves in short time following a disaster. The purpose of this paper is to offer analysis to understand the range of capabilities of these assets. The authors use scenario analysis to investigate the tradeoff between two key capabilities of VL, agility and speed. The authors do this by generating loads and distances randomly, based on historical data. In post hoc analysis, based on different factors, the authors investigate the impact of configuration of Expeditionary Strike Force (ESG) on providing disaster relief. The authors find the most effective deployment of VL in a HADR mission is in supplying essentials to victims in a focused region. Delivering sustainment requirements leads to substantial shortfall for survival needs. If the configuration of the ESGs were changed for HADR, it would better-meet the demand. Cargo capacity is modeled assuming every aircraft type was equal, in terms of mean and variance of cargo-capacity utilization. Detailed information on cargo-bay configurations was beyond the scope of our model and data. However, this means the benefit of standardizing cargo load-outs and the variability associated with randomized load-outs may be understated in the results. The analysis presents decision-makers with projections of VL asset performance in the early stages of disaster relief, to assist in planning and contingency planning. This research deals exclusively with the most critical but expensive capabilities for HADR: VL. The in-depth analysis illustrates the limitations and benefits of this capability.
      Citation: Journal of Defense Analytics and Logistics
      PubDate: 2022-03-14
      DOI: 10.1108/JDAL-10-2021-0012
      Issue No: Vol. 6 , No. 1 (2022)
  • Journal of Defense Analytics and Logistics

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