Analysis and Extraction of Consumer Information for the Evaluation of Design Requirement Depending on Consumer Involvement

Li, Shipei; Tang, Dunbing; Wang, Qi; Zhu, Haihua

doi:10.1007/978-981-32-9941-2_29

Cited by 3 publications

(1 citation statement)

References 20 publications

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“…Dalam proses desain produk, sangat penting untuk memperkirakan peringkat prioritas dari persyaratan desain (DR). Bobot kepentingan DR dinilai berdasarkan bobot CR dan intensitas hubungan antara CR dan DR (Li, Tang, Wang & Zhu, 2019). Quality Function Deployment (QFD) adalah metode yang penting untuk menemukan hubungan antara kebutuhan dan spesifikasi pelanggan.…”

Section: Pendahuluanunclassified

Penggunaan Metode QFD Menerjemahkan Suara Konsumen Untuk Pengembangan Lip Product Lavine Beaute

Kurniawan

Nahdi

2020

BECOSS Journal

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This study aims to bridge the literature gap to examine factors that influence customers in buying a beauty product especially product quality. The type of research used is descriptive. The use of the method in this study is the quality function deployment (QFD) method which has 6 parts namely; customer needs, technical attributes, relationship matrix, technical assessment, correlation matrix, and competitive assessment. The findings of this study are the attributes that meet BPOM standards, ingredients performance, and the probability of failure become one of the attributes that have the highest value on the part of customer needs that can meet customer satisfaction in product development.

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Section: Pendahuluanunclassified

Penggunaan Metode QFD Menerjemahkan Suara Konsumen Untuk Pengembangan Lip Product Lavine Beaute

Kurniawan

Nahdi

2020

BECOSS Journal

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Machine learning for engineering design toward smart customization: A systematic review

Wang

Liu

Kara

2022

Journal of Manufacturing Systems

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New Product Design Using Chebyshev’s Inequality Based Interval-Valued Intuitionistic Z-Fuzzy QFD Method

Haktanır¹,

Kahraman²

2022

Informatica

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In Quality function deployment (QFD) approach, customers tend to express their needs in linguistic terms rather than exact numerical values and these needs generally contain vague and imprecise information. To overcome this challenge and to use the method more effectively for complex customer-oriented design problems, this paper introduces a novel intuitionistic Z-fuzzy QFD method based on Chebyshev’s inequality (CI) and applies it for a new product design. CI provides the assignment of a more objective reliability function. The reliability value is based on the maximum probability obtained from CI. Then, the expected values of lower and upper bounds of interval-valued intuitionistic fuzzy (IVIF) numbers are determined. A competitive analysis among our firm and competitor firms and an integrative analysis for the different functions of QFD is presented. The proposed Z-fuzzy QFD method is applied to the design and development of a hand sanitizer for struggling with COVID-19.

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Analysis and Extraction of Consumer Information for the Evaluation of Design Requirement Depending on Consumer Involvement

Cited by 3 publications

References 20 publications

Penggunaan Metode QFD Menerjemahkan Suara Konsumen Untuk Pengembangan Lip Product Lavine Beaute

Penggunaan Metode QFD Menerjemahkan Suara Konsumen Untuk Pengembangan Lip Product Lavine Beaute

Machine learning for engineering design toward smart customization: A systematic review

New Product Design Using Chebyshev’s Inequality Based Interval-Valued Intuitionistic Z-Fuzzy QFD Method

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