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
The applicability of statistical pro...
~
The George Washington University., Systems Engineering.
FindBook
Google Book
Amazon
博客來
The applicability of statistical process control to systems involving people processes and business rhythms.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
The applicability of statistical process control to systems involving people processes and business rhythms./
作者:
Dever, Jason Robert.
面頁冊數:
131 p.
附註:
Advisers: Thomas A. Mazzuchi; Edward L. Murphree.
Contained By:
Dissertation Abstracts International70-02B.
標題:
Engineering, System Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3344801
ISBN:
9781109043464
The applicability of statistical process control to systems involving people processes and business rhythms.
Dever, Jason Robert.
The applicability of statistical process control to systems involving people processes and business rhythms.
- 131 p.
Advisers: Thomas A. Mazzuchi; Edward L. Murphree.
Thesis (Ph.D.)--The George Washington University, 2009.
Systems are increasing in size and becoming more complex, an ongoing trend for decades. Systems monitoring and control is a vital element of systems engineering that provides information on the behavior patterns of the system. This information has various purposes, including, but not limited to, managing and improving the system.
ISBN: 9781109043464Subjects--Topical Terms:
1018128
Engineering, System Science.
The applicability of statistical process control to systems involving people processes and business rhythms.
LDR
:03057nmm 2200373 a 45
001
863966
005
20100726
008
100726s2009 ||||||||||||||||| ||eng d
020
$a
9781109043464
035
$a
(UMI)AAI3344801
035
$a
AAI3344801
040
$a
UMI
$c
UMI
100
1
$a
Dever, Jason Robert.
$3
1032059
245
1 4
$a
The applicability of statistical process control to systems involving people processes and business rhythms.
300
$a
131 p.
500
$a
Advisers: Thomas A. Mazzuchi; Edward L. Murphree.
500
$a
Includes supplementary digital materials.
500
$a
Source: Dissertation Abstracts International, Volume: 70-02, Section: B, page: 1318.
502
$a
Thesis (Ph.D.)--The George Washington University, 2009.
520
$a
Systems are increasing in size and becoming more complex, an ongoing trend for decades. Systems monitoring and control is a vital element of systems engineering that provides information on the behavior patterns of the system. This information has various purposes, including, but not limited to, managing and improving the system.
520
$a
Systems go through various lifecycle phases from concept definition to operations and maintenance (O&M). As O&M activities can cost as much as 75% of a product's lifecycle cost, it is therefore important to effectively manage cost, optimize system "on" time, and mitigate defects/failures.
520
$a
Statistical process control (SPC) in general, and control charts specifically, are the most widely used monitoring methods. The control chart provides alerts with respect to the behavior of systems and processes and changes in process variability, but relies on the normality of the underlying data. This constraint is easily satisfied in manufacturing and similar industries, where the natural variation in the process or system follows the Gaussian distribution.
520
$a
Many systems today, particularly ones involving people processes and business rhythms, compromise the normality assumption and therefore appear to be poor candidates for SPC. This doctoral research focuses on the applicability and use of SPC in the O&M phase of a system where the analyzed data deviates from normality, for the express purpose of reducing the high costs by mitigating problems and uncovering inefficiencies. The target system is the Lockheed Martin Service Desk, and the challenges are the determination of the state of the process (in or out of control), and, additionally, when the process is out of control, which variable is the causing agent. Preliminary discoveries and results will be presented as part of this discussion.
590
$a
School code: 0075.
650
4
$a
Engineering, System Science.
$3
1018128
650
4
$a
Information Science.
$3
1017528
650
4
$a
Statistics.
$3
517247
690
$a
0463
690
$a
0723
690
$a
0790
710
2
$a
The George Washington University.
$b
Systems Engineering.
$3
1032058
773
0
$t
Dissertation Abstracts International
$g
70-02B.
790
$a
0075
790
1 0
$a
Loewenthal, Alex
$e
committee member
790
1 0
$a
Mazzuchi, Thomas A.,
$e
advisor
790
1 0
$a
Murphree, Edward L.,
$e
advisor
790
1 0
$a
Sarkani, Shahram
$e
committee member
791
$a
Ph.D.
792
$a
2009
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3344801
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
W9076757
電子資源
11.線上閱覽_V
電子書
EB W9076757
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