Title:
Modeling Airlift Operations for Humanitarian Aid and Disaster Relief to Support Acquisition Decision-Making

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dc.contributor.author Weit, Colby J.
dc.contributor.author Chetcuti, Steven
dc.contributor.author Chan, Cherlyn
dc.contributor.author Muehlberg, Marc
dc.contributor.author Wei, Lansing
dc.contributor.author Gilani, Hassan
dc.contributor.author Schwartz, Katherine G.
dc.contributor.author Sudol, Alicia M.
dc.contributor.author Tai, Jimmy C. M.
dc.contributor.author Mavris, Dimitri N.
dc.contributor.corporatename Georgia Institute of Technology. Aerospace Systems Design Laboratory en_US
dc.contributor.corporatename RMIT University, Melbourne, Australia. School of Engineering en_US
dc.date.accessioned 2019-10-14T17:51:20Z
dc.date.available 2019-10-14T17:51:20Z
dc.date.issued 2018-06
dc.description.abstract In a fiscally constrained environment, it is crucial that both equipment manufacturers and defence invest in technology that shows marked operational improvement. A priori identification of cost-benefit at the early acquisition stage is often limited and incomplete, leading to poor value propositions. This conundrum motivates the need to develop a method to evaluate technologies such as levels of autonomy, stealth capability, improved engines, etc. and make tradeoffs against operational measures of performance and effectiveness (MOP/Es) rather than solely against vehicle performance characteristics. The objective of this study is to create an environment in which those trades against MOEs could be performed rapidly to inform technology investment and acquisition decision-making. This environment is built on top of representative models of a discrete event simulation of disaster relief airlift operations to compare technology modifications or vehicle acquisition options rapidly against operational measures of effectiveness. en_US
dc.identifier.citation Weit, C., Chetcuti, S., Wei, L., Muehlberg, M., Chan, C., Gilani, H., … Mavris, D. N. (2018). Modeling Airlift Operations for Humanitarian Aid and Disaster Relief to Support Acquisition Decision-Making. In AIAA AVIATION Forum. 2018 Aviation Technology, Integration, and Operations Conference. https://doi.org/10.2514/6.2018-4007 en_US
dc.identifier.doi https://doi.org/10.2514/6.2018-4007 en_US
dc.identifier.uri http://hdl.handle.net/1853/61929
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries ASDL; en_US
dc.subject Airlift operations en_US
dc.subject Humanitarian aid en_US
dc.title Modeling Airlift Operations for Humanitarian Aid and Disaster Relief to Support Acquisition Decision-Making en_US
dc.type Text
dc.type.genre Paper
dspace.entity.type Publication
local.contributor.author Tai, Jimmy C. M.
local.contributor.author Mavris, Dimitri N.
local.contributor.corporatename Daniel Guggenheim School of Aerospace Engineering
local.contributor.corporatename Aerospace Systems Design Laboratory (ASDL)
local.contributor.corporatename College of Engineering
relation.isAuthorOfPublication c1840b0d-c02b-49f3-a63c-3fd149d40442
relation.isAuthorOfPublication d355c865-c3df-4bfe-8328-24541ea04f62
relation.isOrgUnitOfPublication a348b767-ea7e-4789-af1f-1f1d5925fb65
relation.isOrgUnitOfPublication a8736075-ffb0-4c28-aa40-2160181ead8c
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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