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

Linbo Wang; Yihai He; Zhenzhen He

doi:10.1109/IEEM.2015.7385756

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

Linbo Wang^*
, Yihai He
, Zhenzhen He

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

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 language	English
Title of host publication	2015 IEEE International Conference on Industrial Engineering and Engineering Management
Publisher	IEEE Computer Society
Pages	792-796
ISBN (Electronic)	9781467380652
ISBN (Print)	9781467380669, 9781467380676
DOIs	https://doi.org/10.1109/IEEM.2015.7385756
Publication status	Published - 7 Dec 2015
Event	2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015) - SUNTEC Convention Centre, Singapore, Singapore Duration: 6 Dec 2015 → 9 Dec 2015 http://www.meetmatt.net/ieem2015/docs/IEEM%202015%20Program%20Book.pdf http://www.IEEM.org

Conference

Conference	2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015)
Abbreviated title	IEEM 2015
Place	Singapore
City	Singapore
Period	6/12/15 → 9/12/15
Internet address	http://www.meetmatt.net/ieem2015/docs/IEEM%202015%20Program%20Book.pdf http://www.IEEM.org

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure

Research Keywords

Gumbel Copula
Infant failure rate
quality variations
structural model
Weibull distribution

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10.1109/IEEM.2015.7385756

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@inproceedings{54147a64afd44356866b3f5c5a68b361,

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

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.",

keywords = "Gumbel Copula, Infant failure rate, quality variations, structural model, Weibull distribution",

author = "Linbo Wang and Yihai He and Zhenzhen He",

year = "2015",

month = dec,

day = "7",

doi = "10.1109/IEEM.2015.7385756",

language = "English",

isbn = "9781467380669",

pages = "792--796",

booktitle = "2015 IEEE International Conference on Industrial Engineering and Engineering Management",

publisher = "IEEE Computer Society",

address = "United States",

note = "2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015), IEEM 2015 ; Conference date: 06-12-2015 Through 09-12-2015",

url = "http://www.meetmatt.net/ieem2015/docs/IEEM\%202015\%20Program\%20Book.pdf, http://www.IEEM.org",

}

Wang, L, He, Y & He, Z 2015, Research on the structural model of quality variations in manufacturing and its impact on product infant failure rate. in 2015 IEEE International Conference on Industrial Engineering and Engineering Management., 7385756, IEEE Computer Society, pp. 792-796, 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015), Singapore, Singapore, 6/12/15. https://doi.org/10.1109/IEEM.2015.7385756

Research on the structural model of quality variations in manufacturing and its impact on product infant failure rate. / Wang, Linbo; He, Yihai; He, Zhenzhen.
2015 IEEE International Conference on Industrial Engineering and Engineering Management. IEEE Computer Society, 2015. p. 792-796 7385756.

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Research on the structural model of quality variations in manufacturing and its impact on product infant failure rate

AU - Wang, Linbo

AU - He, Yihai

AU - He, Zhenzhen

PY - 2015/12/7

Y1 - 2015/12/7

N2 - 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.

AB - 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.

KW - Gumbel Copula

KW - Infant failure rate

KW - quality variations

KW - structural model

KW - Weibull distribution

UR - https://www.scopus.com/pages/publications/84962016478

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84962016478&origin=recordpage

U2 - 10.1109/IEEM.2015.7385756

DO - 10.1109/IEEM.2015.7385756

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781467380669

SN - 9781467380676

SP - 792

EP - 796

BT - 2015 IEEE International Conference on Industrial Engineering and Engineering Management

PB - IEEE Computer Society

T2 - 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015)

Y2 - 6 December 2015 through 9 December 2015

ER -

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

Abstract

Conference

UN SDGs

Research Keywords

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