Development of the hybrid weight assessment system for multiple quality attributes

When designing a product or process, a design engineer is often faced with a number of quality attributes and hence prioritizing the quality attributes is an inevitable task. Development of an adequate weight assessment system for multiple attributes in the early stage of design is crucial, since th...

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Main Authors: Sopadang A., Cho B.R., Leonard M.
Format: Article
Language:English
Published: 2014
Online Access:http://www.scopus.com/inward/record.url?eid=2-s2.0-0036754559&partnerID=40&md5=757cb6814eba3c3048673062c5748157
http://cmuir.cmu.ac.th/handle/6653943832/1393
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Institution: Chiang Mai University
Language: English
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spelling th-cmuir.6653943832-13932014-08-29T09:29:15Z Development of the hybrid weight assessment system for multiple quality attributes Sopadang A. Cho B.R. Leonard M. When designing a product or process, a design engineer is often faced with a number of quality attributes and hence prioritizing the quality attributes is an inevitable task. Development of an adequate weight assessment system for multiple attributes in the early stage of design is crucial, since the choice of paths to quality enhancement depends heavily upon the type of weight assessment system used. Although several weight assessment methods are available in the literature, there is room for improvement. Most weight assessment methods reported in the research community have been developed from the perspective of either customers or a design engineer. This article proposes a hybrid weight-assessment system by combining the perspectives of both parties, the customer and a design engineer, in such a way that uncertainty of human perceptions can be modeled using the concepts of fuzzy sets and Monte Carlo simulation. A model is presented and a numerical example is discussed. 2014-08-29T09:29:15Z 2014-08-29T09:29:15Z 2002 Article 08982112 10.1081/QEN-120006712 QUENE http://www.scopus.com/inward/record.url?eid=2-s2.0-0036754559&partnerID=40&md5=757cb6814eba3c3048673062c5748157 http://cmuir.cmu.ac.th/handle/6653943832/1393 English
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description When designing a product or process, a design engineer is often faced with a number of quality attributes and hence prioritizing the quality attributes is an inevitable task. Development of an adequate weight assessment system for multiple attributes in the early stage of design is crucial, since the choice of paths to quality enhancement depends heavily upon the type of weight assessment system used. Although several weight assessment methods are available in the literature, there is room for improvement. Most weight assessment methods reported in the research community have been developed from the perspective of either customers or a design engineer. This article proposes a hybrid weight-assessment system by combining the perspectives of both parties, the customer and a design engineer, in such a way that uncertainty of human perceptions can be modeled using the concepts of fuzzy sets and Monte Carlo simulation. A model is presented and a numerical example is discussed.
format Article
author Sopadang A.
Cho B.R.
Leonard M.
spellingShingle Sopadang A.
Cho B.R.
Leonard M.
Development of the hybrid weight assessment system for multiple quality attributes
author_facet Sopadang A.
Cho B.R.
Leonard M.
author_sort Sopadang A.
title Development of the hybrid weight assessment system for multiple quality attributes
title_short Development of the hybrid weight assessment system for multiple quality attributes
title_full Development of the hybrid weight assessment system for multiple quality attributes
title_fullStr Development of the hybrid weight assessment system for multiple quality attributes
title_full_unstemmed Development of the hybrid weight assessment system for multiple quality attributes
title_sort development of the hybrid weight assessment system for multiple quality attributes
publishDate 2014
url http://www.scopus.com/inward/record.url?eid=2-s2.0-0036754559&partnerID=40&md5=757cb6814eba3c3048673062c5748157
http://cmuir.cmu.ac.th/handle/6653943832/1393
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