語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
A Framework for Implementing Systems...
~
Orlowski, Christian T.
A Framework for Implementing Systems Engineering Measures at Technical Reviews and Audits.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
A Framework for Implementing Systems Engineering Measures at Technical Reviews and Audits./
作者:
Orlowski, Christian T.
面頁冊數:
1 online resource (142 pages)
附註:
Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
Contained By:
Dissertation Abstracts International78-07B(E).
標題:
Systems science. -
電子資源:
click for full text (PQDT)
ISBN:
9781369654431
A Framework for Implementing Systems Engineering Measures at Technical Reviews and Audits.
Orlowski, Christian T.
A Framework for Implementing Systems Engineering Measures at Technical Reviews and Audits.
- 1 online resource (142 pages)
Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
Thesis (Ph.D.)--The George Washington University, 2017.
Includes bibliographical references
Systems engineering measurements provide the decision maker a method to effectively manage uncertainty throughout the systems engineering lifecycle including entrance into key project milestones. Premature transition through project milestones or decision gates is likely to lead to cost and schedule overruns. Risks to a project can be monitored by measuring systems engineering measures in the development of systems. This dissertation proposes a framework for implementing systems engineering measures for the development of systems based on a set of leading indicators. The dissertation also defines additional methods to identify predictive measures. Finally, the dissertation provides the results of surveying systems engineering professionals to capture an industry perspective on systems engineering measurement and the extent to which the industry uses predictive measures and techniques. The relationship between a set of leading indicators and project performance was evaluated. This helps to identify the strength of the relationship between leading indicators and project performance. The results of the study indicate that the use of systems engineering measurement on a project increases the likelihood of better project performance. By monitoring systems engineering as a leading indicator, overall project management and performance is improved.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781369654431Subjects--Topical Terms:
1148479
Systems science.
Index Terms--Genre/Form:
554714
Electronic books.
A Framework for Implementing Systems Engineering Measures at Technical Reviews and Audits.
LDR
:02669ntm a2200349Ki 4500
001
918906
005
20181106103642.5
006
m o u
007
cr mn||||a|a||
008
190606s2017 xx obm 000 0 eng d
020
$a
9781369654431
035
$a
(MiAaPQ)AAI10260154
035
$a
(MiAaPQ)gwu:13497
035
$a
AAI10260154
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
$d
NTU
100
1
$a
Orlowski, Christian T.
$3
1193353
245
1 2
$a
A Framework for Implementing Systems Engineering Measures at Technical Reviews and Audits.
264
0
$c
2017
300
$a
1 online resource (142 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Dissertation Abstracts International, Volume: 78-07(E), Section: B.
500
$a
Advisers: Paul L. Blessner; Timothy D. Blackburn.
502
$a
Thesis (Ph.D.)--The George Washington University, 2017.
504
$a
Includes bibliographical references
520
$a
Systems engineering measurements provide the decision maker a method to effectively manage uncertainty throughout the systems engineering lifecycle including entrance into key project milestones. Premature transition through project milestones or decision gates is likely to lead to cost and schedule overruns. Risks to a project can be monitored by measuring systems engineering measures in the development of systems. This dissertation proposes a framework for implementing systems engineering measures for the development of systems based on a set of leading indicators. The dissertation also defines additional methods to identify predictive measures. Finally, the dissertation provides the results of surveying systems engineering professionals to capture an industry perspective on systems engineering measurement and the extent to which the industry uses predictive measures and techniques. The relationship between a set of leading indicators and project performance was evaluated. This helps to identify the strength of the relationship between leading indicators and project performance. The results of the study indicate that the use of systems engineering measurement on a project increases the likelihood of better project performance. By monitoring systems engineering as a leading indicator, overall project management and performance is improved.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2018
538
$a
Mode of access: World Wide Web
650
4
$a
Systems science.
$3
1148479
650
4
$a
Engineering.
$3
561152
650
4
$a
Management.
$3
558618
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0790
690
$a
0537
690
$a
0454
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
710
2
$a
The George Washington University.
$b
Systems Engineering.
$3
1148622
773
0
$t
Dissertation Abstracts International
$g
78-07B(E).
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10260154
$z
click for full text (PQDT)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入