Measurement resource planning: a methodology that uses quality characteristics mapping

Wei Dai; Paul G. Maropoulos; Xiaoqing Tang; Jafar Jamshidi; Bin Cai

doi:10.1007/978-3-642-10430-5_77

Measurement resource planning: a methodology that uses quality characteristics mapping

Wei Dai, Paul G. Maropoulos, Xiaoqing Tang, Jafar Jamshidi, Bin Cai

Research output: Chapter in Book/Published conference output › Chapter

Abstract

Integration of the measurement activity into the production process is an essential rule in digital enterprise technology, especially for large volume product manufacturing, such as aerospace, shipbuilding, power generation and automotive industries. Measurement resource planning is a structured method of selecting and deploying necessary measurement resources to implement quality aims of product development. In this research, a new mapping approach for measurement resource planning is proposed. Firstly, quality aims are identified in the form of a number of specifications and engineering requirements of one quality characteristics (QCs) at a specific stage of product life cycle, and also measurement systems are classified according to the attribute of QCs. Secondly, a matrix mapping approach for measurement resource planning is outlined together with an optimization algorithm for combination between quality aims and measurement systems. Finally, the proposed methodology has been studied in shipbuilding to solve the problem of measurement resource planning, by which the measurement resources are deployed to satisfy all the quality aims. © Springer-Verlag Berlin Heidelberg 2010.

Original language	English
Title of host publication	Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology
Editors	George Q. Huang, K.L. Mak, Paul G. Maropoulos
Place of Publication	Berlin (DE)
Publisher	Springer
Pages	999-1012
Number of pages	14
ISBN (Electronic)	978-3-642-10430-5
ISBN (Print)	978-3-6421-0429-9
DOIs	https://doi.org/10.1007/978-3-642-10430-5_77
Publication status	Published - 2010
Event	6th CIRP International Conference on Digital Enterprise Technology - Hong Kong, China Duration: 14 Dec 2009 → 16 Dec 2009

Publication series

Name	Advances in Intelligent and Soft Computing
Publisher	Springer
Volume	66
ISSN (Print)	1867-5662

Conference

Conference	6th CIRP International Conference on Digital Enterprise Technology
Abbreviated title	DET 2009
Country/Territory	China
City	Hong Kong
Period	14/12/09 → 16/12/09

Keywords

measurement resource
product development
quality characteristics
resource planning

Access to Document

10.1007/978-3-642-10430-5_77

Cite this

Dai, W., Maropoulos, P. G., Tang, X., Jamshidi, J., & Cai, B. (2010). Measurement resource planning: a methodology that uses quality characteristics mapping. In G. Q. Huang, K. L. Mak, & P. G. Maropoulos (Eds.), Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology (pp. 999-1012). (Advances in Intelligent and Soft Computing; Vol. 66). Springer. https://doi.org/10.1007/978-3-642-10430-5_77

Dai, Wei ; Maropoulos, Paul G. ; Tang, Xiaoqing et al. / Measurement resource planning : a methodology that uses quality characteristics mapping. Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. editor / George Q. Huang ; K.L. Mak ; Paul G. Maropoulos. Berlin (DE) : Springer, 2010. pp. 999-1012 (Advances in Intelligent and Soft Computing).

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title = "Measurement resource planning: a methodology that uses quality characteristics mapping",

abstract = "Integration of the measurement activity into the production process is an essential rule in digital enterprise technology, especially for large volume product manufacturing, such as aerospace, shipbuilding, power generation and automotive industries. Measurement resource planning is a structured method of selecting and deploying necessary measurement resources to implement quality aims of product development. In this research, a new mapping approach for measurement resource planning is proposed. Firstly, quality aims are identified in the form of a number of specifications and engineering requirements of one quality characteristics (QCs) at a specific stage of product life cycle, and also measurement systems are classified according to the attribute of QCs. Secondly, a matrix mapping approach for measurement resource planning is outlined together with an optimization algorithm for combination between quality aims and measurement systems. Finally, the proposed methodology has been studied in shipbuilding to solve the problem of measurement resource planning, by which the measurement resources are deployed to satisfy all the quality aims. {\textcopyright} Springer-Verlag Berlin Heidelberg 2010.",

keywords = "measurement resource, product development, quality characteristics, resource planning",

author = "Wei Dai and Maropoulos, {Paul G.} and Xiaoqing Tang and Jafar Jamshidi and Bin Cai",

year = "2010",

doi = "10.1007/978-3-642-10430-5_77",

language = "English",

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series = "Advances in Intelligent and Soft Computing",

publisher = "Springer",

pages = "999--1012",

editor = "Huang, {George Q.} and K.L. Mak and Maropoulos, {Paul G.}",

booktitle = "Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology",

address = "Germany",

note = "6th CIRP International Conference on Digital Enterprise Technology, DET 2009 ; Conference date: 14-12-2009 Through 16-12-2009",

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Dai, W, Maropoulos, PG, Tang, X, Jamshidi, J & Cai, B 2010, Measurement resource planning: a methodology that uses quality characteristics mapping. in GQ Huang, KL Mak & PG Maropoulos (eds), Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol. 66, Springer, Berlin (DE), pp. 999-1012, 6th CIRP International Conference on Digital Enterprise Technology, Hong Kong, China, 14/12/09. https://doi.org/10.1007/978-3-642-10430-5_77

Measurement resource planning: a methodology that uses quality characteristics mapping. / Dai, Wei; Maropoulos, Paul G.; Tang, Xiaoqing et al.
Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. ed. / George Q. Huang; K.L. Mak; Paul G. Maropoulos. Berlin (DE): Springer, 2010. p. 999-1012 (Advances in Intelligent and Soft Computing; Vol. 66).

Research output: Chapter in Book/Published conference output › Chapter

TY - CHAP

T1 - Measurement resource planning

T2 - 6th CIRP International Conference on Digital Enterprise Technology

AU - Dai, Wei

AU - Maropoulos, Paul G.

AU - Tang, Xiaoqing

AU - Jamshidi, Jafar

AU - Cai, Bin

PY - 2010

Y1 - 2010

N2 - Integration of the measurement activity into the production process is an essential rule in digital enterprise technology, especially for large volume product manufacturing, such as aerospace, shipbuilding, power generation and automotive industries. Measurement resource planning is a structured method of selecting and deploying necessary measurement resources to implement quality aims of product development. In this research, a new mapping approach for measurement resource planning is proposed. Firstly, quality aims are identified in the form of a number of specifications and engineering requirements of one quality characteristics (QCs) at a specific stage of product life cycle, and also measurement systems are classified according to the attribute of QCs. Secondly, a matrix mapping approach for measurement resource planning is outlined together with an optimization algorithm for combination between quality aims and measurement systems. Finally, the proposed methodology has been studied in shipbuilding to solve the problem of measurement resource planning, by which the measurement resources are deployed to satisfy all the quality aims. © Springer-Verlag Berlin Heidelberg 2010.

AB - Integration of the measurement activity into the production process is an essential rule in digital enterprise technology, especially for large volume product manufacturing, such as aerospace, shipbuilding, power generation and automotive industries. Measurement resource planning is a structured method of selecting and deploying necessary measurement resources to implement quality aims of product development. In this research, a new mapping approach for measurement resource planning is proposed. Firstly, quality aims are identified in the form of a number of specifications and engineering requirements of one quality characteristics (QCs) at a specific stage of product life cycle, and also measurement systems are classified according to the attribute of QCs. Secondly, a matrix mapping approach for measurement resource planning is outlined together with an optimization algorithm for combination between quality aims and measurement systems. Finally, the proposed methodology has been studied in shipbuilding to solve the problem of measurement resource planning, by which the measurement resources are deployed to satisfy all the quality aims. © Springer-Verlag Berlin Heidelberg 2010.

KW - measurement resource

KW - product development

KW - quality characteristics

KW - resource planning

UR - http://www.scopus.com/inward/record.url?scp=84903835779&partnerID=8YFLogxK

UR - http://link.springer.com/chapter/10.1007%2F978-3-642-10430-5_77

U2 - 10.1007/978-3-642-10430-5_77

DO - 10.1007/978-3-642-10430-5_77

M3 - Chapter

SN - 978-3-6421-0429-9

T3 - Advances in Intelligent and Soft Computing

SP - 999

EP - 1012

BT - Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology

A2 - Huang, George Q.

A2 - Mak, K.L.

A2 - Maropoulos, Paul G.

PB - Springer

CY - Berlin (DE)

Y2 - 14 December 2009 through 16 December 2009

ER -

Dai W, Maropoulos PG, Tang X, Jamshidi J, Cai B. Measurement resource planning: a methodology that uses quality characteristics mapping. In Huang GQ, Mak KL, Maropoulos PG, editors, Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Berlin (DE): Springer. 2010. p. 999-1012. (Advances in Intelligent and Soft Computing). doi: 10.1007/978-3-642-10430-5_77

Measurement resource planning: a methodology that uses quality characteristics mapping

Abstract

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Keywords

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