Integration of Fuzzy-QFD and TRIZ methodology for product development

Vongvit, Rattawut; Kongprasert, Nattapong; Fournaise, Tristan; Collange, Theo

doi:10.1109/iccar.2017.7942712

Cited by 5 publications

(1 citation statement)

References 14 publications

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“…In order to survive in a competitive environment, the organizations need to adopt the principles of sustainable development. is means that organizations need to develop innovative products [1]. In product innovation design, its first and crucial stage is the fuzzy front-end (FFE) design.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Decision-Making for Technical Characteristics Selection in a House of Quality

Xie

Qin

Jiang

2020

Mathematical Problems in Engineering

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Technical characteristics are an important influencing factor in fuzzy front-end of product innovation design and also an important output of the house of quality. The analysis and decision-making of technical characteristics are conducive to the rational allocation of resources according to their own advantages and the design of products in line with market demand. In view of the multiple objective constraints and internal fuzziness of technical property selection in the house of quality, the traditional methods have great limitations on the decision-making of technical property. Therefore, this paper proposes a multiobjective decision-making method for technical property selection in the house of quality, which aims to calculate and modify the basic importance of technical property. Based on the rough set algorithm, the basic importance of technical characteristics is determined by using the correlation matrix between consumer demand and technical characteristics, and the relative weight of multiple objectives is determined by “least squares.” On this basis, the multiobjective decision-making model of technical characteristic selection is established and calculated. At last, an example of mobile phone product design was used to verify the practicability and effectiveness of the method.

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Section: Introductionmentioning

confidence: 99%