Author
Listed:
- Ling-Xiang Mao
(School of Economics and Management, Anhui Normal University, Wuhu 241002, China)
- Jing Lan
(School of Economics and Management, Anhui Normal University, Wuhu 241002, China)
- Anqi Chen
(School of Performance and Cultural Industries, University of Leeds, Woodhouse LS2 9JT, UK)
- Hua Shi
(School of Materials, Shanghai Dianji University, Shanghai 201306, China)
- Hu-Chen Liu
(School of Economics and Management, Tongji University, Shanghai 200092, China)
Abstract
Quality function deployment (QFD) is a customer-oriented quality management tool used to maximize customer satisfaction by considering the correlations between customer requirements and engineering characteristics. However, the conventional QFD method exhibits some shortcomings when used in real situations, especially in terms of correlation evaluation and engineering characteristic ranking. Therefore, the objective of this study is to propose a new QFD approach based on linguistic distribution assessments and the CRiteria Importance Through Inter-Criteria Correlation (CRITIC) method to improve the effectiveness of the traditional QFD. Specifically, linguistic distribution assessments are utilized to describe the relationships between customer requirements and engineering characteristics. The CRITIC method is extended and used to determine the ranking orders of the engineering characteristics identified in QFD. To demonstrate the feasibility and practicality of the proposed QFD, a case example regarding the performance management system’s development is presented. It is shown that the QFD approach proposed in this paper can not only represent experts’ uncertain linguistic relationship evaluations flexibly but also determine more reliable importance rankings of engineering characteristics in production planning.
Suggested Citation
Ling-Xiang Mao & Jing Lan & Anqi Chen & Hua Shi & Hu-Chen Liu, 2025.
"New Approach for Quality Function Deployment Based on Linguistic Distribution Assessments and CRITIC Method,"
Mathematics, MDPI, vol. 13(2), pages 1-16, January.
Handle:
RePEc:gam:jmathe:v:13:y:2025:i:2:p:240-:d:1565377
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:13:y:2025:i:2:p:240-:d:1565377. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.