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008200131s2019 ||||||||||||||||| ||eng d
020 ▼a 9781392242773
035 ▼a (MiAaPQ)AAI13882671
035 ▼a (MiAaPQ)bu:14740
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 958
1001 ▼a Wang, Le.
24510 ▼a Practice-driven Solutions for Inventory Management Problems in Data-scarce Environments.
260 ▼a [S.l.]: ▼b Boston University., ▼c 2019.
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.
5021 ▼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.
690 ▼a 0454
71020 ▼a Boston University. ▼b Management QSB.
7730 ▼t Dissertations Abstracts International ▼g 80-12A.
773 ▼t Dissertation Abstract International
790 ▼a 0017
791 ▼a Ph.D.
792 ▼a 2019
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T15491248 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202002 ▼f 2020
990 ▼a ***1816162
991 ▼a E-BOOK