Performance indicator for a stochastic-flow manufacturing network with reworking actions based on reliability

Yi-Kuei Lin*, P. C. Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

This paper studies the performance evaluation for a manufacturing system considering reworking actions from the industrial engineering perspective. Due to failure, partial failure, and maintenance, the capacity of each machine in a manufacturing system is stochastic. Therefore, a manufacturing system is constructed as a stochastic-flow network, namely, a Stochastic-Flow Manufacturing Network (SFMN) herein. To evaluate the capability of an SFMN with reworking actions, we measure the probability that the SFMN satisfies demand, and such a probability is referred to as a system reliability. First, a decomposition method is proposed to decompose the SFMN into one general processing path and several reworking paths. Subsequently, two algorithms are designed for different network models to generate the lower boundary vector of the machine's capacity for guaranteeing that the SFMN produces sufficient products. The system reliability of SFMN is derived in terms of such a vector afterwards. According to the system reliability, the production manager may plan and adjust the production capacity in a flexible competing environment as customer demand changes.

Original languageEnglish
Pages (from-to)2201-2214
Number of pages14
JournalScientia Iranica
Volume20
Issue number6
StatePublished - 1 Jan 2013

Keywords

  • Decomposition method
  • Different success rates
  • Reworking
  • Stochastic-Flow Manufacturing Network (SFMN)
  • System reliability

Fingerprint Dive into the research topics of 'Performance indicator for a stochastic-flow manufacturing network with reworking actions based on reliability'. Together they form a unique fingerprint.

Cite this