Quality function deployment (QFD);
Online reviews;
Text mining;
Voice of customer (VoC);
GA-BP neural network;
ONLINE REVIEWS;
ENGINEERING CHARACTERISTICS;
PRODUCT REVIEWS;
KANO MODEL;
QFD;
REQUIREMENTS;
REGRESSION;
DESIGN;
HELPFULNESS;
IDENTIFICATION;
D O I:
10.1016/j.cie.2022.108233
中图分类号:
TP39 [计算机的应用];
学科分类号:
081203 ;
0835 ;
摘要:
In the era of Industry 4.0, the rapid development of information technology in the last decade has provided new challenges for product improvement by enabling users to give their feedback and sentiments in real time. In this paper, combining with genetic algorithm back propagation neutral network, fuzzy inference method, and entropy-based synthesis evaluation method, we raise a full-process product improvement solution driven by online reviews, from the initial online review collection to the final engineering characteristic prioritization. The proposed novel integrated quality function deployment-based approach adheres to the customer-oriented design principle, allowing manufacturers to strengthen the launched product based on the spontaneously-articulated voice of customer, rather than the traditional expertise. In this way, an off-the-shelf product improvement strategy is available for enterprises, and its special advantages like fast adaptation and real-time responsiveness, would significantly reduce management costs, shorten response time to market dynamics, and enhance customer satisfaction. In addition, a case study in smartphone industry is conducted for illustration, and the results clearly demonstrate the effectiveness and practicability of the treatment.
机构:
Department of Industrial Engineering, Faculty of Engineering, University of Tehran, P.O. Box: 11155/4563, TehranDepartment of Industrial Engineering, Faculty of Engineering, University of Tehran, P.O. Box: 11155/4563, Tehran
Iranmanesh, Seyed Hossein
Mokhtarani, Mohammad Hossein
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机构:
Department of Industrial Engineering, Faculty of Engineering, University of Tehran, P.O. Box: 11155/4563, TehranDepartment of Industrial Engineering, Faculty of Engineering, University of Tehran, P.O. Box: 11155/4563, Tehran
Mokhtarani, Mohammad Hossein
Rastegar, Hamid
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机构:
Department of Industrial Engineering, Faculty of Engineering, University of Tehran, P.O. Box: 11155/4563, TehranDepartment of Industrial Engineering, Faculty of Engineering, University of Tehran, P.O. Box: 11155/4563, Tehran
机构:
Fuzhou Univ, Inst Decis Sci, Fuzhou 350108, Peoples R ChinaFuzhou Univ, Inst Decis Sci, Fuzhou 350108, Peoples R China
Wang, Ying-Ming
Chin, Kwai-Sang
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机构:
City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon Tong, Hong Kong, Peoples R ChinaFuzhou Univ, Inst Decis Sci, Fuzhou 350108, Peoples R China
机构:
Karadeniz Tech Univ, Dept Ind Engn, Merkez Campus, TR-61080 Trabzon, TurkiyeKaradeniz Tech Univ, Dept Ind Engn, Merkez Campus, TR-61080 Trabzon, Turkiye
Ayyildiz, Ertugrul
Yildiz, Aslihan
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机构:
Yildiz Tech Univ, Dept Ind Engn, Yildiz Campus, TR-34349 Istanbul, TurkiyeKaradeniz Tech Univ, Dept Ind Engn, Merkez Campus, TR-61080 Trabzon, Turkiye
Yildiz, Aslihan
Taskin, Alev
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机构:
Yildiz Tech Univ, Dept Ind Engn, Yildiz Campus, TR-34349 Istanbul, TurkiyeKaradeniz Tech Univ, Dept Ind Engn, Merkez Campus, TR-61080 Trabzon, Turkiye
Taskin, Alev
Ozkan, Coskun
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机构:
Yildiz Tech Univ, Dept Ind Engn, Yildiz Campus, TR-34349 Istanbul, TurkiyeKaradeniz Tech Univ, Dept Ind Engn, Merkez Campus, TR-61080 Trabzon, Turkiye
机构:
Galatasaray Univ, Dept Ind Engn, Fac Engn & Technol, TR-34357 Istanbul, TurkeyGalatasaray Univ, Dept Ind Engn, Fac Engn & Technol, TR-34357 Istanbul, Turkey
Buyukozkan, Gulcin
Cifci, Gizem
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机构:
Galatasaray Univ, Dept Ind Engn, Fac Engn & Technol, TR-34357 Istanbul, TurkeyGalatasaray Univ, Dept Ind Engn, Fac Engn & Technol, TR-34357 Istanbul, Turkey