Transient Performance Evaluation with Finite Production Run-based Serial Lines: Bernoulli Quality Model

Chiye Ma, Zhiyang Jia, Xiaohan Wang, Zejun Ni

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Performance analysis of production systems in steady state, which have quality inspection machines, has been studied widely in the past few decades. However, when production systems having quality problem run under a certain of number of raw parts, systems are mainly operating in transient and methods which solve the issue of product quality in steady state are not applicable. Thus, transient analysis for such systems plays an important role in the processes of finite production run. In this paper, we focus on Bernoulli serial lines in finite production runs that have two types of machines, i.e., Bernoulli machines with product quality problem and Bernoulli quality inspection machines. Under this framework, a Markov chain model for two-machine system is presented to evaluate the transient performance measures.

Original languageEnglish
Title of host publication2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021
EditorsJiacun Wang, Ying Tang, Fei-Yue Wang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665426213
DOIs
Publication statusPublished - 2021
Event2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021 - Beijing, China
Duration: 18 Dec 202120 Dec 2021

Publication series

Name2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021

Conference

Conference2021 International Conference on Cyber-Physical Social Intelligence, ICCSI 2021
Country/TerritoryChina
CityBeijing
Period18/12/2120/12/21

Keywords

  • Bernoulli quality machines
  • Transient analysis
  • finite production run
  • product quality

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