Multivariate Analyses for Finding Significant Track Irregularities to Generate an Optimal Track Maintenance Schedule

ISSN Print: 2160-8830
ISSN Online: 2160-8849
www.scirp.net/journal/ajor
E-mail: [email protected]

Citations

"Multivariate Analyses for Finding Significant Track Irregularities to Generate an Optimal Track Maintenance Schedule"
written by Mami Matsumoto, Masashi Miwa, Tatsuo Oyama,
published by American Journal of Operations Research, Vol.12 No.6, 2022

has been cited by the following article(s):

[1]	Development of a Method for Detecting Track Irregularity Anomalies by Cluster Analysis
	Quarterly Report of RTRI, 2023

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[1]	Development of a Method for Detecting Track Irregularity Anomalies by Cluster Analysis Quarterly Report of RTRI, 2023 DOI:10.2219/rtriqr.64.4_266