Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)

<Previous Article In Volume
Next Article In Volume>

Research on the reliability model of emergency dispatch considering the advance state of time factor

Authors
Jijun Xiao1, Yutong Zhou1, *, Shu Ou1, Rong Kou1
1College of Business, Guilin University of Electronic Technology, Guilin, Guangxi, China
*Corresponding author. Email: ou6632@163.com
Corresponding Author
Yutong Zhou
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-102-9_79How to use a DOI?
Keywords
System reliability; Emergency material dispatch; GO-Bayesian synthesis
Abstract

With the frequent occurrence of major emergencies in recent years, the guarantee problem of emergency material dispatching has gradually come to the fore. In this paper, the reliability of the emergency material dispatching system is studied based on the analysis of the dispatching process and influencing factors, and the network model of system reliability is constructed by combining the GO method and Bayesian network as modelling tools. Bayesian forward and backward inference is used for fault inference to find out the system’s weak points. On this basis, the model is extended to the sensitivity study of system reliability. It is found that the material dispatching subsystem has the highest failure rate, in which material transportation time, emergency vehicle waiting time, implementation plan development time, satisfaction with the quantity of material at the affected point and agility of the dispatching information system are the main influencing factors.

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.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
Series
Atlantis Highlights in Computer Sciences
Publication Date
29 December 2022
ISBN
10.2991/978-94-6463-102-9_79
ISSN
2589-4900
DOI
10.2991/978-94-6463-102-9_79How 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  - Jijun Xiao
AU  - Yutong Zhou
AU  - Shu Ou
AU  - Rong Kou
PY  - 2022
DA  - 2022/12/29
TI  - Research on the reliability model of emergency dispatch considering the advance state of time factor
BT  - Proceedings of the 2022 2nd International Conference on Business Administration and Data Science (BADS 2022)
PB  - Atlantis Press
SP  - 774
EP  - 784
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-102-9_79
DO  - 10.2991/978-94-6463-102-9_79
ID  - Xiao2022
ER  -