Research on the structural model of quality variations in manufacturing and its impact on product infant failure rate

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

Abstract

Quality variations in manufacturing are the root causes for product high infant failure rate. A structural model of quality variations in manufacturing composed of part-level, component-level and system-level is put forward firstly. Then the bi-variant Gumbel Copula for positive correlation quantification is tailored to obtain the correlation dependence of the three levelled variations, and the impact of the structural but correlated quality variations on product infant failure rate is conducted systematically under Weibull distribution. Finally, a case study is carried out to verify the proposed method.

Original languageEnglish
Title of host publicationIEEM 2015 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management
PublisherIEEE Computer Society
Pages792-796
Number of pages5
ISBN (Electronic)9781467380669
DOIs
StatePublished - 18 Jan 2016
EventIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015 - Singapore, Singapore
Duration: 6 Dec 20159 Dec 2015

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
Volume2016-January
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

ConferenceIEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015
Country/TerritorySingapore
CitySingapore
Period6/12/159/12/15

Keywords

  • Gumbel Copula
  • Infant failure rate
  • Weibull distribution
  • quality variations
  • structural model

Fingerprint

Dive into the research topics of 'Research on the structural model of quality variations in manufacturing and its impact on product infant failure rate'. Together they form a unique fingerprint.

Cite this