Proceedings of the 2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)

Research on Allocation of Emergency Supplies and Vehicles Based on Multi-Period Demand and Supply

Authors
Yunchao Qu1, *, Xinxing Yuan1
1Beijing Jiaotong University, Haidian District, Beijing, China
*Corresponding author. Email: 434374838@qq.com
Corresponding Author
Yunchao Qu
Available Online 19 April 2026.
DOI
10.2991/978-94-6239-652-4_20How to use a DOI?
Keywords
supply allocation; vehicle dispatching preferences; secondary allocation; collaborative Scheduling
Abstract

To address the multi-period demand for relief supplies among disaster-affected populations following sudden emergencies, this paper proposes a hierarchical dispatching scheme for disaster relief materials, covering both dispatches between supply points and affected sites and dispatches among affected sites themselves. The proposed scheme is designed for post-disaster emergency material scheduling and explicitly accounts for vehicle dispatching preferences. This study makes the following assumptions:(1) after a sudden event, resources received from external regions arrive at multiple supply points in a time-staggered manner;(2) new demands from affected populations are generated at affected sites over multiple periods; and(3) under the hierarchical material dispatching framework, vehicle dispatching preferences are differentiated between supply points and affected sites. Based on these assumptions, an emergency material dispatching model is developed that integrates multi-period supply and demand satisfaction with coordinated allocation of materials and vehicles. Using post-earthquake emergency response operations in Dingri County, Shigatse Prefecture, Tibet, as an empirical case study, the paper examines the operational effectiveness, practicality, and potential advantages of the proposed hierarchical dispatching framework.

Copyright
© 2026 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.

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Volume Title
Proceedings of the 2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)
Series
Advances in Computer Science Research
Publication Date
19 April 2026
ISBN
978-94-6239-652-4
ISSN
2352-538X
DOI
10.2991/978-94-6239-652-4_20How to use a DOI?
Copyright
© 2026 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  - Yunchao Qu
AU  - Xinxing Yuan
PY  - 2026
DA  - 2026/04/19
TI  - Research on Allocation of Emergency Supplies and Vehicles Based on Multi-Period Demand and Supply
BT  - Proceedings of the  2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)
PB  - Atlantis Press
SP  - 193
EP  - 207
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-652-4_20
DO  - 10.2991/978-94-6239-652-4_20
ID  - Qu2026
ER  -