語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Finding Determinants for Optimizing ...
~
Mills, Hugh E., Jr.
FindBook
Google Book
Amazon
博客來
Finding Determinants for Optimizing System Development Planning and Acquisition Strategies Using Linear Discriminant Analysis.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Finding Determinants for Optimizing System Development Planning and Acquisition Strategies Using Linear Discriminant Analysis./
作者:
Mills, Hugh E., Jr.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:
51 p.
附註:
Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
Contained By:
Dissertation Abstracts International79-07B(E).
標題:
Engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10743269
ISBN:
9780355614251
Finding Determinants for Optimizing System Development Planning and Acquisition Strategies Using Linear Discriminant Analysis.
Mills, Hugh E., Jr.
Finding Determinants for Optimizing System Development Planning and Acquisition Strategies Using Linear Discriminant Analysis.
- Ann Arbor : ProQuest Dissertations & Theses, 2018 - 51 p.
Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
Thesis (D.Engr.)--The George Washington University, 2018.
Complexity in systems acquisition can be characterized by descriptors in a system's architecture that portray interrelationships and interdependencies, technology readiness levels, test and evaluation, integration, and technical requirements, lifecycle support and other factors. Well known resource estimating measures such as mass, power, fuel requirements, etc. can be added to achieve a multivariable description of a desired program. Seldom can all these contributors to a system development and procurement plan be accommodated, optimized, or even known. There is no set of guidelines in this environment to select the best development and acquisition strategy. This paper attempts to begin mapping acquisition strategies and system planning paradigms to system performance indicators, with the intent of providing guidelines for future complex system efforts. Since the acquisition strategies and system planning paradigms are themselves complex, they are accepted as non-ordinal categorical variables in this analysis. An attempt is made to match them against empirical program performance indicators for cost and schedule using the technique of linear discriminant analysis with NASA mission data as the complex systems. While the results do not yield a significant determinant of optimum acquisition program strategy, there is evidence of separation in one set of category groupings that invites future research.
ISBN: 9780355614251Subjects--Topical Terms:
586835
Engineering.
Finding Determinants for Optimizing System Development Planning and Acquisition Strategies Using Linear Discriminant Analysis.
LDR
:02472nmm a2200313 4500
001
2199727
005
20181029135740.5
008
201008s2018 ||||||||||||||||| ||eng d
020
$a
9780355614251
035
$a
(MiAaPQ)AAI10743269
035
$a
(MiAaPQ)gwu:13946
035
$a
AAI10743269
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Mills, Hugh E., Jr.
$3
3426472
245
1 0
$a
Finding Determinants for Optimizing System Development Planning and Acquisition Strategies Using Linear Discriminant Analysis.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2018
300
$a
51 p.
500
$a
Source: Dissertation Abstracts International, Volume: 79-07(E), Section: B.
500
$a
Advisers: Steven Doskey; James D. Moreland, Jr.
502
$a
Thesis (D.Engr.)--The George Washington University, 2018.
520
$a
Complexity in systems acquisition can be characterized by descriptors in a system's architecture that portray interrelationships and interdependencies, technology readiness levels, test and evaluation, integration, and technical requirements, lifecycle support and other factors. Well known resource estimating measures such as mass, power, fuel requirements, etc. can be added to achieve a multivariable description of a desired program. Seldom can all these contributors to a system development and procurement plan be accommodated, optimized, or even known. There is no set of guidelines in this environment to select the best development and acquisition strategy. This paper attempts to begin mapping acquisition strategies and system planning paradigms to system performance indicators, with the intent of providing guidelines for future complex system efforts. Since the acquisition strategies and system planning paradigms are themselves complex, they are accepted as non-ordinal categorical variables in this analysis. An attempt is made to match them against empirical program performance indicators for cost and schedule using the technique of linear discriminant analysis with NASA mission data as the complex systems. While the results do not yield a significant determinant of optimum acquisition program strategy, there is evidence of separation in one set of category groupings that invites future research.
590
$a
School code: 0075.
650
4
$a
Engineering.
$3
586835
650
4
$a
Management.
$3
516664
650
4
$a
Systems science.
$3
3168411
690
$a
0537
690
$a
0454
690
$a
0790
710
2
$a
The George Washington University.
$b
Engineering Management.
$3
1262973
773
0
$t
Dissertation Abstracts International
$g
79-07B(E).
790
$a
0075
791
$a
D.Engr.
792
$a
2018
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10743269
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9376276
電子資源
11.線上閱覽_V
電子書
EB
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入