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Optimizing UAS Mission Training Needs Through Tradespace Analysis
Author(s) -
Matthew Bearden,
Aidan Scribbick,
Kristen West,
Scott Zapcic,
Jasmine Motupalli
Publication year - 2017
Publication title -
industrial and systems engineering review
Language(s) - English
Resource type - Journals
ISSN - 2329-0188
DOI - 10.37266/iser.2017v5i2.pp102-108
Subject(s) - computer science , task (project management) , operations research , resource allocation , discrete event simulation , training (meteorology) , resource (disambiguation) , resource management (computing) , process management , operations management , simulation , systems engineering , engineering , computer network , physics , meteorology
The Gray Eagle unmanned aircraft systems (UAS) training program requires the reallocation of multiple fully operational UAS from the operational environment to facilitate training. The UAS Project Management Office (PM UAS) is concerned that this practice lacks efficiency. This study sought to: (1) conduct a comprehensive analysis for resource optimization with respect to achieving essential training tasks across multiple UAS, (2) conduct comprehensive cost-benefit analysis to assess the value of allocating a full-time and Gray Eagle platforms to accomplish training versus part-task trainers, and (3) define and quantify measures of performance and effectiveness. To achieve these objectives, this study implemented a tradespace analysis methodology to produce a discrete-event simulation model and a resource optimization tool. The impacts of this project will result in substantial cost savings per fiscal year, allow the client to forecast the resource needs of the organization effectively, and allow for the proper allocation of these resources.

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