Integrated analysis of productivity and machine condition degradation: A geometric-machine case

Yunyi Kang, Feng Ju

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We consider a two-machine-one-buffer production system with each machine's condition following a certain degradation process. An analytical model of the integration of machine condition degradation and productivity is introduced. Analytical methods based on the Markov chain approach are developed to quantify the interaction between machine condition degradation process and the overall system performance. In addition, system-theoretical properties are investigated to provide insight on how the system parameters affect the system performance. These methods provide a quantitative tool for modeling, analyzing, and improving manufacturing systems with tight interactions between machine condition degradation and productivity.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
PublisherIEEE Computer Society
Pages1128-1133
Number of pages6
Volume2016-November
ISBN (Electronic)9781509024094
DOIs
StatePublished - Nov 14 2016
Event2016 IEEE International Conference on Automation Science and Engineering, CASE 2016 - Fort Worth, United States
Duration: Aug 21 2016Aug 24 2016

Other

Other2016 IEEE International Conference on Automation Science and Engineering, CASE 2016
CountryUnited States
CityFort Worth
Period8/21/168/24/16

Keywords

  • Geometric machine
  • integration
  • Machine condition degradation
  • throughput analysis

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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