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Optimizing Humanitarian Logistics Operations: Decomposition Approaches for Solving Large-Scale Deterministic and Stochastic Vehicle Routing Problems
Optimizing Humanitarian Logistics Operations: Decomposition Approaches for Solving Large-S...
Contents Info
Optimizing Humanitarian Logistics Operations: Decomposition Approaches for Solving Large-Scale Deterministic and Stochastic Vehicle Routing Problems
Material Type  
 단행본
 
0016054410
Date and Time of Latest Transaction  
20220210094252
ISBN  
9798544206897
DDC  
658
Author  
Faiz, Tasnim Ibn.
Title/Author  
Optimizing Humanitarian Logistics Operations: Decomposition Approaches for Solving Large-Scale Deterministic and Stochastic Vehicle Routing Problems
Publish Info  
[Sl] : Northeastern University, 2021
Publish Info  
Ann Arbor : ProQuest Dissertations & Theses, 2021
Material Info  
166 p
General Note  
Source: Dissertations Abstracts International, Volume: 83-04, Section: B.
General Note  
Advisor: Alam, Muhammad Noor E.
학위논문주기  
Thesis (Ph.D.)--Northeastern University, 2021.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Industrial engineering
Subject Added Entry-Topical Term  
Operations research
Subject Added Entry-Topical Term  
Computer science
Subject Added Entry-Topical Term  
Mechanical engineering
Index Term-Uncontrolled  
Cooperative truck and drone routing
Index Term-Uncontrolled  
Drone-based delivery
Index Term-Uncontrolled  
Drone-based information Gathering
Index Term-Uncontrolled  
Humanitarian logistics
Index Term-Uncontrolled  
Two-echelon vehicle routing
Index Term-Uncontrolled  
Uncrewed Aerial Vehicles
Index Term-Uncontrolled  
Disaster response
Index Term-Uncontrolled  
Supplies
Added Entry-Corporate Name  
Northeastern University Mechanical and Industrial Engineering
Host Item Entry  
Dissertations Abstracts International. 83-04B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
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소장사항  
202202 2022
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