Failure knowledge based decision-making in product quality

W. Dai; P. G. Maropoulos; X. Q. Tang

doi:10.1007/978-1-84996-432-6_33

Failure knowledge based decision-making in product quality

W. Dai
, P. G. Maropoulos
, X. Q. Tang

School of Reliability and Systems Engineering

University of Bath, Department of Mechanical Engineering
Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Decision-making in product quality is indispensable in order to keep product development at the lowest risk. Based on discussion of the deficiencies of Quality Function Deployment (QFD) and Failure Modes and Effects Analysis (FMEA), a novel decision-making method is presented concentrated on the knowledge network of failure scenarios. An ontological expression of failure scenario is presented together with a framework of failure knowledge network (FKN). A case study is provided according to the proposed decision-making procedure based on FKN. This methodology is applied in the Measurement Assisted Assembly (MAA) process to solve the problem of prioritizing measurement characteristics. A mathematical model and algorithms of Analytic Network Process (ANP) are introduced into calculating the priority of manufacturing characteristics. Therefore, this study provides a practical approach for decision-making in product quality.

Original language	English
Title of host publication	Proceedings of the 36th International MATADOR Conference
Publisher	Springer London
Pages	145-148
Number of pages	4
ISBN (Print)	9781849964326
DOIs	https://doi.org/10.1007/978-1-84996-432-6_33
State	Published - 2010
Event	36th International MATADOR Conference - Manchester, Lancashire, United Kingdom Duration: 14 Jul 2010 → 16 Jul 2010

Publication series

Name	Proceedings of the 36th International MATADOR Conference
Volume	2010-January

Conference

Conference	36th International MATADOR Conference
Country/Territory	United Kingdom
City	Manchester, Lancashire
Period	14/07/10 → 16/07/10

Keywords

Analytic network process
Decision-making in product quality
Decision-making model
Failure knowledge network

Access to Document

10.1007/978-1-84996-432-6_33

Cite this

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title = "Failure knowledge based decision-making in product quality",

abstract = "Decision-making in product quality is indispensable in order to keep product development at the lowest risk. Based on discussion of the deficiencies of Quality Function Deployment (QFD) and Failure Modes and Effects Analysis (FMEA), a novel decision-making method is presented concentrated on the knowledge network of failure scenarios. An ontological expression of failure scenario is presented together with a framework of failure knowledge network (FKN). A case study is provided according to the proposed decision-making procedure based on FKN. This methodology is applied in the Measurement Assisted Assembly (MAA) process to solve the problem of prioritizing measurement characteristics. A mathematical model and algorithms of Analytic Network Process (ANP) are introduced into calculating the priority of manufacturing characteristics. Therefore, this study provides a practical approach for decision-making in product quality.",

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author = "W. Dai and Maropoulos, \{P. G.\} and Tang, \{X. Q.\}",

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isbn = "9781849964326",

series = "Proceedings of the 36th International MATADOR Conference",

publisher = "Springer London",

pages = "145--148",

booktitle = "Proceedings of the 36th International MATADOR Conference",

address = "英国",

note = "36th International MATADOR Conference ; Conference date: 14-07-2010 Through 16-07-2010",

}

Dai, W, Maropoulos, PG & Tang, XQ 2010, Failure knowledge based decision-making in product quality. in Proceedings of the 36th International MATADOR Conference. Proceedings of the 36th International MATADOR Conference, vol. 2010-January, Springer London, pp. 145-148, 36th International MATADOR Conference, Manchester, Lancashire, United Kingdom, 14/07/10. https://doi.org/10.1007/978-1-84996-432-6_33

Failure knowledge based decision-making in product quality. / Dai, W.; Maropoulos, P. G.; Tang, X. Q.
Proceedings of the 36th International MATADOR Conference. Springer London, 2010. p. 145-148 (Proceedings of the 36th International MATADOR Conference; Vol. 2010-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Failure knowledge based decision-making in product quality

AU - Dai, W.

AU - Maropoulos, P. G.

AU - Tang, X. Q.

PY - 2010

Y1 - 2010

N2 - Decision-making in product quality is indispensable in order to keep product development at the lowest risk. Based on discussion of the deficiencies of Quality Function Deployment (QFD) and Failure Modes and Effects Analysis (FMEA), a novel decision-making method is presented concentrated on the knowledge network of failure scenarios. An ontological expression of failure scenario is presented together with a framework of failure knowledge network (FKN). A case study is provided according to the proposed decision-making procedure based on FKN. This methodology is applied in the Measurement Assisted Assembly (MAA) process to solve the problem of prioritizing measurement characteristics. A mathematical model and algorithms of Analytic Network Process (ANP) are introduced into calculating the priority of manufacturing characteristics. Therefore, this study provides a practical approach for decision-making in product quality.

AB - Decision-making in product quality is indispensable in order to keep product development at the lowest risk. Based on discussion of the deficiencies of Quality Function Deployment (QFD) and Failure Modes and Effects Analysis (FMEA), a novel decision-making method is presented concentrated on the knowledge network of failure scenarios. An ontological expression of failure scenario is presented together with a framework of failure knowledge network (FKN). A case study is provided according to the proposed decision-making procedure based on FKN. This methodology is applied in the Measurement Assisted Assembly (MAA) process to solve the problem of prioritizing measurement characteristics. A mathematical model and algorithms of Analytic Network Process (ANP) are introduced into calculating the priority of manufacturing characteristics. Therefore, this study provides a practical approach for decision-making in product quality.

KW - Analytic network process

KW - Decision-making in product quality

KW - Decision-making model

KW - Failure knowledge network

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DO - 10.1007/978-1-84996-432-6_33

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AN - SCOPUS:85009806322

SN - 9781849964326

T3 - Proceedings of the 36th International MATADOR Conference

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EP - 148

BT - Proceedings of the 36th International MATADOR Conference

PB - Springer London

T2 - 36th International MATADOR Conference

Y2 - 14 July 2010 through 16 July 2010

ER -

Failure knowledge based decision-making in product quality

Abstract

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Keywords

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