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

Practice-driven Solutions for Invent...

Wang, Le.

FindBook

Google Book

Amazon

博客來

Practice-driven Solutions for Inventory Management Problems in Data-scarce Environments.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Practice-driven Solutions for Inventory Management Problems in Data-scarce Environments./
作者:	Wang, Le.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	112 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-12, Section: A.
Contained By:	Dissertations Abstracts International80-12A.
標題:	Management. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13882671
ISBN:	9781392242773

Practice-driven Solutions for Inventory Management Problems in Data-scarce Environments.
Wang, Le.

Practice-driven Solutions for Inventory Management Problems in Data-scarce Environments. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 112 p.

Source: Dissertations Abstracts International, Volume: 80-12, Section: A.

Thesis (Ph.D.)--Boston University, 2019.

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

Many firms are challenged to make inventory decisions with limited data, and high customer service level requirements. This thesis focuses on heuristic solutions for inventory management problems in data-scarce environments, employing rigorous mathematical frameworks and taking advantage of the information that is available in practice but often ignored in literature. We define a class of inventory models and solutions with demonstrable value in helping firms solve these challenges.

ISBN: 9781392242773Subjects--Topical Terms:

516664
Management.

Practice-driven Solutions for Inventory Management Problems in Data-scarce Environments.
LDR:01539nmm a2200313 4500 001 2210247
005 20191121113052.5
008 201008s2019 ||||||||||||||||| ||eng d
020 $a 9781392242773
035 $a (MiAaPQ)AAI13882671
035 $a (MiAaPQ)bu:14740
035 $a AAI13882671
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wang, Le. $3 1290896
245 1 0 $a Practice-driven Solutions for Inventory Management Problems in Data-scarce Environments.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2019
300 $a 112 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-12, Section: A.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Joglekar, Nitin R.
502 $a Thesis (Ph.D.)--Boston University, 2019.
506 $a This item must not be sold to any third party vendors.
520 $a Many firms are challenged to make inventory decisions with limited data, and high customer service level requirements. This thesis focuses on heuristic solutions for inventory management problems in data-scarce environments, employing rigorous mathematical frameworks and taking advantage of the information that is available in practice but often ignored in literature. We define a class of inventory models and solutions with demonstrable value in helping firms solve these challenges.
590 $a School code: 0017.
650 4 $a Management. $3 516664
690 $a 0454
710 2 $a Boston University. $b Management QSB. $3 3288601
773 0 $t Dissertations Abstracts International $g 80-12A.
790 $a 0017
791 $a Ph.D.
792 $a 2019
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13882671