| dc.contributor |
Tick, Simona |
|
| dc.contributor |
Snider, Keith |
|
| dc.contributor |
Graduate School of Business & Public Policy (GSBPP) |
|
| dc.creator |
Mattox, Kyle E. |
|
| dc.date |
Dec-12 |
|
| dc.date |
2013-02-15T23:13:48Z |
|
| dc.date |
2013-02-15T23:13:48Z |
|
| dc.date |
2012-12 |
|
| dc.date.accessioned |
2022-05-19T07:41:22Z |
|
| dc.date.available |
2022-05-19T07:41:22Z |
|
| dc.identifier |
http://hdl.handle.net/10945/27866 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/100134 |
|
| dc.description |
This thesis builds an optimization decision model that can be used to determine the optimum ratio of the two vehicles that the Army and Marine Corps can purchase to minimize costs while taking into account constraints related to each vehicles capabilities, such as required off-road capabilities and transport ease for missions supported by the services. The proposed optimization decision model is a cost minimizing non-linear programming model that also accounts for changes in the average production cost of each type of vehicle by embedding a cumulative average cost formula into the objective function of the model. |
|
| dc.description |
http://archive.org/details/jointlighttactic1094527866 |
|
| dc.description |
Captain, United States Marine Corps |
|
| dc.description |
Approved for public release; distribution is unlimited. |
|
| dc.format |
application/pdf |
|
| dc.publisher |
Monterey, California. Naval Postgraduate School |
|
| dc.subject |
Linear Programming |
|
| dc.subject |
Non-Linear Programming |
|
| dc.subject |
Joint Light Tactical Vehicle |
|
| dc.subject |
M-ATV |
|
| dc.subject |
JLTV |
|
| dc.title |
Joint light tactical vehicle and mine resistant ambush protected all-terrain vehicle optimum procurement ratio |
|
| dc.type |
Thesis |
|