Research on Railway Emergency Resources Scheduling Model under Multiple Uncertainties

Autor: Zhaoping Tang, Wenda Li, Shengyu Zhou, Jianping Sun
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Applied Sciences, Vol 13, Iss 7, p 4432 (2023)
Druh dokumentu: article
ISSN: 2076-3417
DOI: 10.3390/app13074432
Popis: 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.
Databáze: Directory of Open Access Journals