Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties

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 progr...

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Vydáno v:Applied sciences Ročník 13; číslo 7; s. 4432
Hlavní autoři: Tang, Zhaoping, Li, Wenda, Zhou, Shengyu, Sun, Jianping
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.04.2023
Témata:
Analysis
Costs
Decision making
Emergency preparedness
Evacuations & rescues
fuzzy credibility-constrained programming
Fuzzy sets
High speed rail
Integer programming
interval two-stage stochastic programming
Linear programming
Maintenance management
Mathematical programming
multiple uncertainties
Neural networks
Optimization
Railroads
railway emergency resource scheduling
Random variables
Safety and security measures
Scheduling
China
ISSN:2076-3417, 2076-3417
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Shrnutí: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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2076-3417
2076-3417
DOI:10.3390/app13074432