Machine and Feedstock Interdependence Modeling for Manufacturing Networks Performance Analysis

Zhenggeng Ye, Shubin Si, Hui Yang, Zhiqiang Cai, Fuli Zhou

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The input of low-quality feedstocks triggers the interdependence between workpiece quality and machine reliability, which will further adversely impact the performance of manufacturing systems. Considering the interconnected manufacturing system structures, our primary goal is to provide an effective method to compute the performance of networked manufacturing systems suffering from machine and low-quality feedstock interdependence. The strength of our work first lies in the model for the compound degradation process of machines and dissemination of low-quality feedstocks, which enables us to construct a response chain to model the interdependence between machines and feedstocks in the manufacturing network. Then, the second strength is the effective algorithm for the computation of route connectivity and quality loss of a manufacturing network based on the interdependence model. A computational experiment shows our models and algorithm can work well for evaluating the operational performance of manufacturing networks.

Original languageEnglish (US)
Pages (from-to)5067-5076
Number of pages10
JournalIEEE Transactions on Industrial Informatics
Volume18
Issue number8
DOIs
StatePublished - Aug 1 2022

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Electrical and Electronic Engineering

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