國立虎尾科技大學 |

Resource Assignment on Large Dynamic Networks.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Resource Assignment on Large Dynamic Networks./
作者:	Poe, Chad.
面頁冊數:	1 online resource (53 pages)
附註:	Source: Masters Abstracts International, Volume: 56-03.
Contained By:	Masters Abstracts International56-03(E).
標題:	Industrial engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9781369593440

Resource Assignment on Large Dynamic Networks.
Poe, Chad.

Resource Assignment on Large Dynamic Networks. - 1 online resource (53 pages)

Source: Masters Abstracts International, Volume: 56-03.

Thesis (M.S.)

Includes bibliographical references

Current decision making processes separate the Intelligence tasks from the Operations tasks. This creates a system that is reactive rather than proactive, leaving potential gains in the timeliness and quality of responding to a situation of interest. Moreover, combining data from the operational environment with the data from the intelligence community provides increased situational awareness to plan and adjust the mission. In this paper we will present a new optimization paradigm that combines the tasking of Intelligence, Surveillance, and Reconnaissance (ISR) assets with the tasks and needs of Operational assets. Some of the collection assets will be dedicated for one function or another, while a third category that could perform both will also be considered. We will use a scenario to demonstrate the value of the merger by presenting the impact on a number of Intelligence and Operations measures of performance and effectiveness (MOPS/MOEs). Using this framework, mission readiness and execution assessment for a simulated Humanitarian Assistance/Disaster Relief (HADR) mission is monitored for tasks on intelligence gathering, distribution of supplies, and repair of vital lanes of transportation, during the relief effort. The innovative approach uses a combination of discrete optimization methods to obtain heuristic solutions effectively to an NP-Hard problem. Furthermore, the method is flexible to adapt to dynamic objective functions which will allow for changes in the environment or goals of a mission.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9781369593440Subjects--Topical Terms:

679492
Industrial engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Resource Assignment on Large Dynamic Networks.
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245 1 0 $a Resource Assignment on Large Dynamic Networks.
264 0 $c 2017
300 $a 1 online resource (53 pages)
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500 $a Source: Masters Abstracts International, Volume: 56-03.
500 $a Adviser: Moises Sudit.
502 $a Thesis (M.S.) $c State University of New York at Buffalo $d 2017.
504 $a Includes bibliographical references
520 $a Current decision making processes separate the Intelligence tasks from the Operations tasks. This creates a system that is reactive rather than proactive, leaving potential gains in the timeliness and quality of responding to a situation of interest. Moreover, combining data from the operational environment with the data from the intelligence community provides increased situational awareness to plan and adjust the mission. In this paper we will present a new optimization paradigm that combines the tasking of Intelligence, Surveillance, and Reconnaissance (ISR) assets with the tasks and needs of Operational assets. Some of the collection assets will be dedicated for one function or another, while a third category that could perform both will also be considered. We will use a scenario to demonstrate the value of the merger by presenting the impact on a number of Intelligence and Operations measures of performance and effectiveness (MOPS/MOEs). Using this framework, mission readiness and execution assessment for a simulated Humanitarian Assistance/Disaster Relief (HADR) mission is monitored for tasks on intelligence gathering, distribution of supplies, and repair of vital lanes of transportation, during the relief effort. The innovative approach uses a combination of discrete optimization methods to obtain heuristic solutions effectively to an NP-Hard problem. Furthermore, the method is flexible to adapt to dynamic objective functions which will allow for changes in the environment or goals of a mission.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Industrial engineering. $3 679492
650 4 $a Operations research. $3 573517
655 7 $a Electronic books. $2 local $3 554714
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710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a State University of New York at Buffalo. $b Industrial Engineering. $3 1180593
773 0 $t Masters Abstracts International $g 56-03(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10255181 $z click for full text (PQDT)