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Manufacturing Quality Function Deployment: Literature Review and Future Trends
Author(s) -
Sunday Ayoola Oke
Publication year - 2013
Publication title -
engineering journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.246
H-Index - 20
ISSN - 0125-8281
DOI - 10.4186/ej.2013.17.3.79
Subject(s) - quality function deployment , software deployment , customer satisfaction , function (biology) , production (economics) , process (computing) , engineering , computer science , quality (philosophy) , process management , manufacturing engineering , operations management , business , marketing , value engineering , software engineering , macroeconomics , evolutionary biology , economics , biology , operating system , philosophy , epistemology
A comprehensive review of the Quality Function Deployment (QFD) literature is made using extensive survey as a methodology. The most important results of the study are: (i) QFD modelling and applications are one-sided; prioritisation of technical attributes only maximise customer satisfaction without considering cost incurred (ii) we are still missing considerable knowledge about neural networks for predicting improvement measures in customer satisfaction (iii) further exploration of the subsequent phases (process planning and production planning) of QFD is needed (iv) more decision support systems are needed to automate QFD (v) feedbacks from customers are not accounted for in current studies.

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