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Volume 13
Issue 7
10.3390/app13074432
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Article

Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties

by
Zhaoping Tang
1,
Wenda Li
1,
Shengyu Zhou
2 and
Jianping Sun
1,*
1
School of Transportation Engineering, East China Jiaotong University, Nanchang 330013, China
2
Xiangtangxi Railway Station, China Railway Nanchang Group Co., Ltd., Nanchang 330201, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(7), 4432; https://doi.org/10.3390/app13074432
Submission received: 20 February 2023 / Revised: 25 March 2023 / Accepted: 29 March 2023 / Published: 31 March 2023
Versions Notes

Abstract

This paper discusses the optimization of emergency resource scheduling for major railway emergencies under multiple uncertainties while considering the uncertainties in demand, reserve, and transportation costs of resources. We introduce a novel approach that integrates stochastic mathematical programming, interval parameter programming, and fuzzy mathematical programming to study uncertain parameter interactions and coupling. A two-stage interval fuzzy credibility-constrained model is established and solved using an interval interactive algorithm. Finally, through a case study on China Railway Nanchang Group Co., Ltd., the novelty and effectiveness of the proposed method for optimizing emergency resource scheduling strategies under multiple uncertainties are demonstrated.
Keywords: multiple uncertainties; railway emergency resource scheduling; interval two-stage stochastic programming; fuzzy credibility-constrained programming multiple uncertainties; railway emergency resource scheduling; interval two-stage stochastic programming; fuzzy credibility-constrained programming

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MDPI and ACS Style

Tang, Z.; Li, W.; Zhou, S.; Sun, J. Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties. Appl. Sci. 2023, 13, 4432. https://doi.org/10.3390/app13074432

AMA Style

Tang Z, Li W, Zhou S, Sun J. Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties. Applied Sciences. 2023; 13(7):4432. https://doi.org/10.3390/app13074432

Chicago/Turabian Style

Tang, Zhaoping, Wenda Li, Shengyu Zhou, and Jianping Sun. 2023. "Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties" Applied Sciences 13, no. 7: 4432. https://doi.org/10.3390/app13074432

APA Style

Tang, Z., Li, W., Zhou, S., & Sun, J. (2023). Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties. Applied Sciences, 13(7), 4432. https://doi.org/10.3390/app13074432

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