Dynamic Availability Analysis for the Flexible Manufacturing System Based on a Two-Step Stochastic Model

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

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The paper proposes a dynamic availability analysis approach for the flexible manufacturing system (FMS) under a stochastic environment that machines’ failure and starvation or blockage of production process occur randomly. Accurately knowing the availability of the FMS, which is changing dynamically overtime in a stochastic circumstance could benefit a lot for the improvement or re-design of the system. A two-step stochastic model proposed in current paper that integrates the intermediate buffers into associated workstations equivalently in terms of the relationships between upstream and downstream production rates. Calculation procedures of relevant dynamic availability are established by using the Lz -transform method, which conquer the states-explosion problem which is common in FMS performance analysis. Meanwhile, the impacts of intermediate buffers on the FMS dynamic availability also revealed, which assist to determine the appropriate volumes of the buffers to satisfy the various FMS production demands. A numerical example is presented for illustrating the effectiveness and rationality of the approach.

Original languageEnglish
Title of host publicationSpringer Series in Reliability Engineering
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-19
Number of pages19
DOIs
StatePublished - 2022

Publication series

NameSpringer Series in Reliability Engineering
ISSN (Print)1614-7839
ISSN (Electronic)2196-999X

Keywords

  • Dynamic availability analysis
  • Flexible manufacturing system
  • Intermediate buffers
  • Lz-transform method
  • Multi-state system
  • Two-step stochastic model

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