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
Quantitative Purchasing Structure fo...
~
Stefanek, Andrew.
FindBook
Google Book
Amazon
博客來
Quantitative Purchasing Structure for Ferrous Scrap.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Quantitative Purchasing Structure for Ferrous Scrap./
作者:
Stefanek, Andrew.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:
140 p.
附註:
Source: Dissertation Abstracts International, Volume: 80-05(E), Section: B.
Contained By:
Dissertation Abstracts International80-05B(E).
標題:
Engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13422757
ISBN:
9780438752559
Quantitative Purchasing Structure for Ferrous Scrap.
Stefanek, Andrew.
Quantitative Purchasing Structure for Ferrous Scrap.
- Ann Arbor : ProQuest Dissertations & Theses, 2019 - 140 p.
Source: Dissertation Abstracts International, Volume: 80-05(E), Section: B.
Thesis (D.Engr.)--The George Washington University, 2019.
The majority of steel manufacturers within the United States have employed electric arc furnaces (EAFs), which melt raw materials, for the production of steel. The raw material used in EAFs is referred to as steel, or ferrous, scrap. There are many different grades of ferrous scrap, which are classified by the following attributes: size, density, and chemistry weight percentages of residual elements. Methods currently applied to assess the price of ferrous scrap employ qualitative measures. Furthermore, the largest unknown when procuring ferrous scrap is the chemistry weight percentages of residual elements. This attribute is the most critical to the steel manufacturer as it affects the quality of steel. The goal of the research conducted for this praxis was to create a pricing model that predicted the value-in-use price of ferrous scrap per supplier using a quantitative purchasing structure. The solution to this problem was attained through a pricing model. As this research was applied, the pricing models developed during this research are readily available for use within the steel industry. Results from the pricing models displayed a significant improvement in predicting the value-in-use ferrous scrap price over the current procurement process used by the steel manufacturer.
ISBN: 9780438752559Subjects--Topical Terms:
586835
Engineering.
Quantitative Purchasing Structure for Ferrous Scrap.
LDR
:02332nmm a2200325 4500
001
2204010
005
20190624102617.5
008
201008s2019 ||||||||||||||||| ||eng d
020
$a
9780438752559
035
$a
(MiAaPQ)AAI13422757
035
$a
(MiAaPQ)gwu:14527
035
$a
AAI13422757
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Stefanek, Andrew.
$3
3430828
245
1 0
$a
Quantitative Purchasing Structure for Ferrous Scrap.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2019
300
$a
140 p.
500
$a
Source: Dissertation Abstracts International, Volume: 80-05(E), Section: B.
500
$a
Includes supplementary digital materials.
500
$a
Advisers: Amirhossein Etemadi; Ebrahim Malalla.
502
$a
Thesis (D.Engr.)--The George Washington University, 2019.
520
$a
The majority of steel manufacturers within the United States have employed electric arc furnaces (EAFs), which melt raw materials, for the production of steel. The raw material used in EAFs is referred to as steel, or ferrous, scrap. There are many different grades of ferrous scrap, which are classified by the following attributes: size, density, and chemistry weight percentages of residual elements. Methods currently applied to assess the price of ferrous scrap employ qualitative measures. Furthermore, the largest unknown when procuring ferrous scrap is the chemistry weight percentages of residual elements. This attribute is the most critical to the steel manufacturer as it affects the quality of steel. The goal of the research conducted for this praxis was to create a pricing model that predicted the value-in-use price of ferrous scrap per supplier using a quantitative purchasing structure. The solution to this problem was attained through a pricing model. As this research was applied, the pricing models developed during this research are readily available for use within the steel industry. Results from the pricing models displayed a significant improvement in predicting the value-in-use ferrous scrap price over the current procurement process used by the steel manufacturer.
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
80-05B(E).
790
$a
0075
791
$a
D.Engr.
792
$a
2019
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13422757
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
W9380559
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