Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)

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An AI Planning Approach to Emergency Material Scheduling Using Numerical PDDL

Authors
Liping Yang1, Ruishi Liang2, *
1School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China
2School of Computer Science, University of Electronic Science and Technology of China, Zhongshan Institute, Zhongshan, China
*Corresponding author. Email: liangruishi@foxmail.com
Corresponding Author
Ruishi Liang
Available Online 2 December 2022.
DOI
10.2991/978-94-6463-010-7_7How to use a DOI?
Keywords
Artificial Intelligence; AI planning; Emergency Material; Material Scheduling
Abstract

Emergency material planning and scheduling aims to schedule emergency material to destination efficiently to reduce property losses and personal casualties caused by material shortage. Existing researches usually rely on optimization of transportation routes. They ignore the rich scenarios in which human and material resources participate in scheduling simultaneously. Moreover, sudden emergencies may involve the supply of multiple material demand points. To address these issues, we propose an AI planning approach to model emergency material scheduling domain and construct a standard planning task using PDDL. Then a state-of-the-art planner is employed to solve the generated planning task. Experimental results show that the proposed approach can fit the actual situation of emergencies and give high-quality instruction to guide emergency material planning and scheduling.

Copyright
© 2023 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 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
2 December 2022
ISBN
10.2991/978-94-6463-010-7_7
ISSN
2589-4919
DOI
10.2991/978-94-6463-010-7_7How to use a DOI?
Copyright
© 2023 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

risenwbib
TY  - CONF
AU  - Liping Yang
AU  - Ruishi Liang
PY  - 2022
DA  - 2022/12/02
TI  - An AI Planning Approach to Emergency Material Scheduling Using Numerical PDDL
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 47
EP  - 54
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_7
DO  - 10.2991/978-94-6463-010-7_7
ID  - Yang2022
ER  -