Research on optimization of EMU operation planning considering variable grouping and balanced maintenance
HU Zuoan
ZHANG Wenhao
ZHOU Jiaming
HUANG Xinlei
ZHANG Yuzhao
Abstract：This study addresses the coordination imbalance between daily operation and major mainte-nance of Electric Multiple Units(EMU).First,from the perspective of automated scheduling,the cou-pling process of EMUs in variable marshaling mode is clarified,and the inherent relationship between EMU operation plans and major maintenance cycles is explored.Building upon this analysis,an inte-grated optimization model is developed by incorporating balanced maintenance scheduling and compre-hensive operational costs into the optimization objectives,while considering constraints such as mainte-nance capacity,timetable requirements,and operational coupling.Then,heuristic rules are integrated into the feasible solution generation algorithm,which,combined with the optimization strategy of the simulated annealing algorithm,results in an algorithm designed to solve the EMU operation plan and optimize the solution process.Finally,case validation is conducted using timetable data from the Wuhan-Guangzhou high-speed railway.Results demonstrate that the variable marshaling mode re-duces the required number of EMUs by 16.9%and decreases routine maintenance frequency by 18.7%,compared to the fixed marshaling mode,effectively lowering overall operational costs.After considering balanced maintenance constraints,the balance of major maintenance in the EMU operation schemes increases by 65%,alleviating issues such as concentrated maintenance demands and insuffi-cient depot capacity in practical operations,thereby enhancing the organizational efficiency of EMU de-ployment.
Keywords：EMUoperation planningvariable marshalingbalanced maintenancesimulated anneal-ing algorithm
Publication Date：2025-04-30
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：11( 14-24 )