APPLICATION OF AGGREGATE ANALYSIS FOR PRODUCT DESIGN QUALITY USING QFD MODEL AND TOPSIS

Jihong Pang · Genbao Zhang

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Quality Function Deployment in Product Design Multi-Criteria Decision Making Manufacturing Process and Optimization

Abstract

The high level of quality is becoming increasingly more important in manufacturing industry due to customer requirements. The selection of proper design quality is vital for the success of new product development. How to select the suitable analysis model to improve the decision accuracy has become a complex problem. This study presents a systematic decision support approach to solve the optimization design problems of product quality based on quality function deployment (QFD) and technique for order preference by similarity to ideal solution (TOPSIS). The experimental results showed that the proposed aggregate analysis model is expected to provide invaluable decision support for the design quality of a gas turbine.http://dx.doi.org/10.5755/j01.mech.17.6.1011

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2007Using AHP and TOPSIS approaches in customer-driven product design process 2004Extensions of TOPSIS for multi-objective large-scale nonlinear programming problems 2007Hierarchical fuzzy TOPSIS model for selection among logistics information technologies 2004Managing product design quality under resource constraints 2008Solving Multiresponse Optimization Problems Using Quality Function–Based Robust Design 2007Ranking Customer Requirements in QFD by Factoring in Their Interrelationship Values

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2021Prioritization of key quality characteristics with the three-dimensional HoQ model-based interval-valued spherical fuzzy-ORESTE method 2015Lean design for Six Sigma

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