Research on Optimization and Intelligent Upgrading Strategies for Emergency Logistics Systems
- DOI
- 10.2991/978-94-6463-676-5_59How to use a DOI?
- Keywords
- Emergency Logistics; Supply Chain Optimization; Intelligent Upgrading; Big Data; Internet of Things
- Abstract
This paper aims to explore the optimization and intelligent upgrading strategies for emergency logistics systems, proposing a series of innovative methods from the perspective of supply chain management to enhance the response speed and efficiency of emergency logistics. With the frequent occurrence of global emergencies such as natural disasters and public health crises, the importance of emergency logistics has become increasingly prominent. By analyzing the characteristics and challenges of emergency logistics and incorporating modern technologies like artificial intelligence, big data, and the Internet of Things (IoT), this paper presents a systematic set of optimization strategies aimed at building a more flexible and efficient emergency logistics system.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Qi Liu AU - Jun Liu AU - Yifan Yang AU - Yafei Wang PY - 2025 DA - 2025/04/15 TI - Research on Optimization and Intelligent Upgrading Strategies for Emergency Logistics Systems BT - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024) PB - Atlantis Press SP - 605 EP - 612 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-676-5_59 DO - 10.2991/978-94-6463-676-5_59 ID - Liu2025 ER -