Prioritization of key quality characteristics with the three-dimensional HoQ model-based interval-valued spherical fuzzy-ORESTE method. (September 2021)

• Record Type: Journal Article
• Authors: Jin, Chuanxi; Ran, Yan; Wang, Zhichao; Zhang, Genbao
• Is Part Of: Engineering applications of artificial intelligence. Volume 104(2021)
• Publication Date: 2021-09
• Subjects: Three-dimensional HoQ model -- Key quality characteristics -- Interval-valued spherical fuzzy sets -- ORESTE; Engineering -- Data processing -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Ingénierie -- Informatique -- Périodiques; Intelligence artificielle -- Périodiques; Systèmes experts (Informatique) -- Périodiques; Artificial intelligence; Engineering -- Data processing; Expert systems (Computer science); Periodicals; 620.00285
• DOI: 10.1016/j.engappai.2021.104271
• Languages: English
• ISSNs: 0952-1976

Abstract

Abstract: Ranking key quality characteristics (KQCs) which are widely utilized to evaluate the product quality level and selecting the most important one are necessary for improving the quality of mechanical and electrical product. Many classical ranking methods have been proposed to rank KQCs, e.g., the classical quality function deployment (QFD) method, the classical ORESTE method. However, some drawbacks in constructing ranking framework, rating KQCs/influence factors (IFs) and ranking KQCs are existed in these methods. To solve this problem, we develop a three-dimensional house of quality (HoQ) model-based interval-valued spherical fuzzy-ORESTE (IVSF-ORESTE) method to rank KQCs. First, the three-dimensional HoQ models which add meta-action units (MAUs) dimension are constructed to provide a ranking framework, and interval-valued spherical fuzzy sets (IVSFSs) are utilized to rate KQCs/IFs. Secondly, some new distance and weight distance measures based on the Dice and the Jaccard similarity are proposed to extend the traditional distance measure between IVSFSs. Furthermore, the IVSF-QFD method is used to calculate the importance degrees of IFs and the KQCs are ranked with the IVSF-ORESTE method. Finally, a real case vis-à-vis a NC rotary table is illustrated to explain the implementation process of the proposed method, and discussion results indicate that the proposed ranking method is rational and valid. Highlights: Introducing MAUs dimension to construct three-dimensional HoQ model. Developing some new distance measures between IVSFSs. Rating KQCs/IFs by using IVSFSs. Determining the importance degrees of IFs with the IVSF-QFD method. Ranking KQCs with the IVSF-ORESTE method.