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Approximate analysis of reentrant lines with Bernoulli reliability model

Chong Wang, Jingshan Li

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

Reentrant lines are widely used in many manufacturing systems. In this paper, we present an iterative method to approximate the performance of reentrant lines with Bernoulli reliability model under last buffer first serve (LBFS) scheduling policy. Recursive procedure to estimate the production rates of reentrant lines is developed. A case study of an automotive ignition component line with reentrant washing operations is introduced to illustrate the applicability of the method. © 2010 IEEE.
Original languageEnglish
Article number5159353
Pages (from-to)708-715
JournalIEEE Transactions on Automation Science and Engineering
Volume7
Issue number3
DOIs
Publication statusPublished - Jul 2010
Externally publishedYes

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Funding

This work was supported in part by a Faculty Research Grant from the University of Kentucky .

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

  • Bernoulli reliability
  • last buffer first serve (LBFS)
  • production rate
  • reentrant lines

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