A dynamic time warped clustering technique for discrete event simulation-based system analysis

作者：

Highlights：

• A novel method for discrete event simulation output analysis is proposed.

• The proposed method combines dynamic time warping and clustering to identify system behaviour.

• A case study of a baggage handling system is presented to demonstrate the proposed approach.

摘要

•A novel method for discrete event simulation output analysis is proposed.•The proposed method combines dynamic time warping and clustering to identify system behaviour.•A case study of a baggage handling system is presented to demonstrate the proposed approach.

论文关键词：Discrete event simulation,Simulation trajectory analysis,Dynamic time warping,Clustering,K-medoids

论文评审过程：Available online 30 June 2015, Version of Record 11 July 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.06.040