Lz-transform method and Markov reward approach for flexible manufacturing system performance evaluation

Wenbin Zeng, Guixiang Shen, Bingkun Chen, Ilia Frenkel, Igor Bolvashenkov, Jörg Kammermann, Hans Georg Herzog, Lev Khvatskin, Anatoly Lisnianski

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This article presents a performance evaluation of a flexible manufacturing system (FMS), in which the system and its components can have diffderent performance levels ranging from perfect functioning to total failure. An original multistate transition process for the FMS's main component, Computerized Numerical Control (CNC) machine tools, proposed in the current article and treated as an aging process because of its increasing failure rate is investigated. The Markov reward approach is utilized to analyze the availability of CNC machine tools and sensitivity analysis of each non-operational state to the machine's downtime. To overcome the "state explosion problem" in the subsequent FMS performance evaluation process, an application of the Lz-transform method is proposed to determine the performance evaluation and availability of such aging multistate FMS. An illustrated case is presented to demonstrate the performance evaluation process. The results show that the suggested methods can be implemented in engineering decision making and construction of various aging multistate FMS related to demands, availability, and output performance.

Original languageEnglish
Article number4153
JournalApplied Sciences (Switzerland)
Volume9
Issue number19
DOIs
StatePublished - 1 Oct 2019

Keywords

  • Aging multistate CNC machine tools
  • Availability
  • Flexible manufacturing system
  • Lz-transform method
  • Markov reward approach
  • Output performance

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