東華大學圖書館 |

語系: 繁體中文

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

Parallel real asset management with ...

Stasko, Timon Herrick.

FindBook

Google Book

Amazon

博客來

Parallel real asset management with environmental regulation: Integer programming and approximate dynamic programming approaches.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Parallel real asset management with environmental regulation: Integer programming and approximate dynamic programming approaches./
作者:	Stasko, Timon Herrick.
面頁冊數:	145 p.
附註:	Source: Dissertation Abstracts International, Volume: 73-02, Section: B, page: 1118.
Contained By:	Dissertation Abstracts International73-02B.
標題:	Civil engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3485180
ISBN:	9781267017307

Parallel real asset management with environmental regulation: Integer programming and approximate dynamic programming approaches.
Stasko, Timon Herrick.

Parallel real asset management with environmental regulation: Integer programming and approximate dynamic programming approaches. - 145 p.

Source: Dissertation Abstracts International, Volume: 73-02, Section: B, page: 1118.

Thesis (Ph.D.)--Cornell University, 2011.

This item is not available from ProQuest Dissertations & Theses.

This dissertation presents a pair of models designed to assist in the management of multiple deteriorating real assets, given financial and environmental concerns. Whether the assets are buildings or vehicles or machines, their purchase and upkeep can be costly, making optimal management policies valuable. The models presented build upon a strong literature. They incorporate numerous factors which have been modeled previously, though generally not together. These include technological change, linked decisions for multiple assets, and non-steady-state demand. They stand out from previous literature due to their ability to model retrofits, as well as repairs and replacements. These retrofits can have initial as well as ongoing costs, and can impact externalities, making them relatively general. The integer program model is fast and well suited to analysis requiring large numbers of runs, such as the comparison of a wide range of regulatory alternatives. The approximate dynamic program, while slower, is able to handle stochastic asset failures and repair costs for large asset portfolios, something which previous models have struggled to accomplish without strong simplifying assumptions. A customized value iteration approach produces good solutions within a few hours for sample problems involving a fleet of well over a thousand vehicles subject to clean diesel regulation.

ISBN: 9781267017307Subjects--Topical Terms:

860360
Civil engineering.

Parallel real asset management with environmental regulation: Integer programming and approximate dynamic programming approaches.
LDR:02414nmm a2200301 4500 001 2067263
005 20160226101922.5
008 170521s2011 ||||||||||||||||| ||eng d
020 $a 9781267017307
035 $a (MiAaPQ)AAI3485180
035 $a AAI3485180
040 $a MiAaPQ $c MiAaPQ
100 1 $a Stasko, Timon Herrick. $3 3182102
245 1 0 $a Parallel real asset management with environmental regulation: Integer programming and approximate dynamic programming approaches.
300 $a 145 p.
500 $a Source: Dissertation Abstracts International, Volume: 73-02, Section: B, page: 1118.
500 $a Adviser: Oliver Gao.
502 $a Thesis (Ph.D.)--Cornell University, 2011.
506 $a This item is not available from ProQuest Dissertations & Theses.
520 $a This dissertation presents a pair of models designed to assist in the management of multiple deteriorating real assets, given financial and environmental concerns. Whether the assets are buildings or vehicles or machines, their purchase and upkeep can be costly, making optimal management policies valuable. The models presented build upon a strong literature. They incorporate numerous factors which have been modeled previously, though generally not together. These include technological change, linked decisions for multiple assets, and non-steady-state demand. They stand out from previous literature due to their ability to model retrofits, as well as repairs and replacements. These retrofits can have initial as well as ongoing costs, and can impact externalities, making them relatively general. The integer program model is fast and well suited to analysis requiring large numbers of runs, such as the comparison of a wide range of regulatory alternatives. The approximate dynamic program, while slower, is able to handle stochastic asset failures and repair costs for large asset portfolios, something which previous models have struggled to accomplish without strong simplifying assumptions. A customized value iteration approach produces good solutions within a few hours for sample problems involving a fleet of well over a thousand vehicles subject to clean diesel regulation.
590 $a School code: 0058.
650 4 $a Civil engineering. $3 860360
650 4 $a Environmental economics. $3 535179
650 4 $a Operations research. $3 547123
690 $a 0543
690 $a 0438
690 $a 0796
710 2 $a Cornell University. $3 530586
773 0 $t Dissertation Abstracts International $g 73-02B.
790 $a 0058
791 $a Ph.D.
792 $a 2011
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3485180