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Preference Evaluation System for Construction Products Using QFD-TOPSIS Logic by Considering Trade-Off Technical Characteristicsopen access

Authors
Cho, JaehoChun, JaeyoulKim,InhanCHOI, JUNG SIK
Issue Date
2017
Publisher
Hindawi Limited
Keywords
QUALITY FUNCTION DEPLOYMENT; DECISION-MAKING METHOD; FUZZY ENVIRONMENT; DESIGN; MCDM; SELECTION; CLASSIFICATION; HIERARCHY; CHINA; SET
Citation
Mathematical Problems in Engineering, v.2017, pp.1 - 16
Indexed
SCIE
SCOPUS
Journal Title
Mathematical Problems in Engineering
Volume
2017
Start Page
1
End Page
16
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/11545
DOI
10.1155/2017/9010857
ISSN
1024-123X
Abstract
This paper investigates the feasibility of quality function deployment, technique for the order of preference by similarity to ideal solution (QFD-TOPSIS) in presenting user preferences for multiple alternatives, such as construction technologies, products, systems, and design solutions, with trade-off technical characteristics (TC). The original QFD as house of quality (HOQ) defines the requirements and features as subjective matrix relations, which cause interpretations to vary across users and limit its industrial applications. QFD-TOPSIS is a new model that combines the benefits of QFD with those of TOPSIS, maintains the subjectivity and objectivity evaluation of the technical characteristics (TC), and rates the preferences by considering users' individual propensity for requirements. In addition, QFD-TOPSIS rates the preferences through the reciprocal compensation effects of trade-off TC and filters unsuitable alternatives with predefined restrictive conditions. Trade-off refers to conflicts and/or contradictions between attributes, often arising in multicriteria decision-making. Users or project stakeholder groups define the priorities of trade-off TC that directly influence product preferences and decision-making. In the present study, we have developed a Web system based on the QFD-TOPSIS logic and tested its operation to verify its industrial applicability and viability for automatic quality evaluation. © 2017 Jaeho Cho et al.
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COLLEGE OF ENGINEERING SCIENCES > MAJOR IN BUILDING INFORMATION TECHNOLOGY > 1. Journal Articles

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