Facility Location-Allocation Problem for Emergency Medical Service With Unmanned Aerial Vehicle-Reference-Cited by-同舟云学术

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Facility Location-Allocation Problem for Emergency Medical Service With Unmanned Aerial Vehicle

Published:2022 Issue: Volume: Page:1-15
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Park Youngsoo¹,Lee Sangyoon²,Sung Inkyung³^ORCID,Nielsen Peter³^ORCID,Moon Ilkyeong⁴^ORCID

Affiliation:

1. Woowa Brothers Corporation, Seoul, South Korea

2. Samsung Advanced Institute of Technology, Samsung Electronics, Suwon-si, South Korea

3. Department of Materials and Production, Aalborg University, Aalborg, Denmark

4. Department of Industrial Engineering, Seoul National University, Seoul, South Korea

Funder

Ministry of Science, ICT & Future Planning, South Korea

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/4358928/09963779.pdf?arnumber=9963779

Reference80 articles.

1. Dynamic Models and Control Techniques for Drone Delivery of Medications and Other Healthcare Items in COVID-19 Hotspots

2. Robust solutions of Linear Programming problems contaminated with uncertain data

3. The economic and operational value of using drones to transport vaccines

4. Technical Note—Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming

5. Integrated temporary facility location and casualty allocation planning for post-disaster humanitarian medical service

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1. Stratified p-Hub Median and Hub Location Problems: Models and Solution Algorithms;IEEE Transactions on Intelligent Transportation Systems;2024-09

2. Satisfaction Evaluation and Sustainability Optimization of Urban Medical Facilities Based on Residents’ Activity Data in Nanjing, China;Sustainability;2024-06-27

3. Toward Smart Skies: Reviewing the State of the Art and Challenges for Intelligent Air Transportation Systems (IATS);IEEE Transactions on Intelligent Transportation Systems;2024

4. Autonomous Vehicles for Healthcare Applications: A Review on Mobile Robotic Systems and Drones in Hospital and Clinical Environments;Electronics;2023-11-27

5. Facility location decisions for drone delivery: A literature review;European Journal of Operational Research;2023-10

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