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

Eliciting and Leveraging Information...

Ow, Yam Huo.

FindBook

Google Book

Amazon

博客來

Eliciting and Leveraging Information in Operations: Tractable Approaches Using Robust Optimization.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Eliciting and Leveraging Information in Operations: Tractable Approaches Using Robust Optimization./
作者:	Ow, Yam Huo.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	147 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
Contained By:	Dissertations Abstracts International82-12B.
標題:	Operations research. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28497088
ISBN:	9798516064951

Eliciting and Leveraging Information in Operations: Tractable Approaches Using Robust Optimization.
Ow, Yam Huo.

Eliciting and Leveraging Information in Operations: Tractable Approaches Using Robust Optimization. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 147 p.

Source: Dissertations Abstracts International, Volume: 82-12, Section: B.

Thesis (Ph.D.)--Northwestern University, 2021.

This item must not be sold to any third party vendors.

The overall theme in this thesis is about eliciting and leveraging information to improve algorithms in Operations Management, with an emphasis on tractable and integrated approach of estimation and optimization. The main tool that I will be using is Robust Optimization, and the applications in my work vary from online platforms to supply chains of perishables.

ISBN: 9798516064951Subjects--Topical Terms:

547123
Operations research.
Subjects--Index Terms:

Tractability

Eliciting and Leveraging Information in Operations: Tractable Approaches Using Robust Optimization.
LDR:01528nmm a2200373 4500 001 2282958
005 20211022115809.5
008 220723s2021 ||||||||||||||||| ||eng d
020 $a 9798516064951
035 $a (MiAaPQ)AAI28497088
035 $a AAI28497088
040 $a MiAaPQ $c MiAaPQ
100 1 $a Ow, Yam Huo. $3 3561844
245 1 0 $a Eliciting and Leveraging Information in Operations: Tractable Approaches Using Robust Optimization.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 147 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-12, Section: B.
500 $a Advisor: Bandi, Chaithanya.
502 $a Thesis (Ph.D.)--Northwestern University, 2021.
506 $a This item must not be sold to any third party vendors.
520 $a The overall theme in this thesis is about eliciting and leveraging information to improve algorithms in Operations Management, with an emphasis on tractable and integrated approach of estimation and optimization. The main tool that I will be using is Robust Optimization, and the applications in my work vary from online platforms to supply chains of perishables.
590 $a School code: 0163.
650 4 $a Operations research. $3 547123
650 4 $a Systems science. $3 3168411
650 4 $a Information science. $3 554358
653 $a Tractability
653 $a Integration
653 $a Estimation
653 $a Optimization
653 $a Algorithms
690 $a 0796
690 $a 0723
690 $a 0790
710 2 $a Northwestern University. $b Operations Management. $3 1672530
773 0 $t Dissertations Abstracts International $g 82-12B.
790 $a 0163
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28497088