Integrating Refined Kano Model, Quality Function Deployment, and Grey Relational Analysis to Improve Service Quality of Nursing Homes

2012 ◽  
Vol 24 (2) ◽  
pp. 172-191 ◽  
Author(s):  
Tsu-Ming Yeh ◽  
Shun-Hsing Chen
Keyword(s):  
Nursing Homes ◽  
Grey Relational Analysis ◽  
Quality Function Deployment ◽  
Kano Model ◽  
Model Quality ◽  
Relational Analysis ◽  
Improve Service Quality ◽  
Grey Relational ◽  
Quality Of Nursing

scholarly journals Influence of Milling Process Parameters on Machined Surface Quality of Carbon Fibre Reinforced Polymer (CFRP) Composites Using Taguchi Analysis and Grey Relational Analysis

2021 ◽  
Vol 13 (6) ◽  
Author(s):  
I.S.N.V.R. Prasanth ◽  
◽  
S. Nikitha ◽  
R. Pulsingh ◽  
M. Sampath ◽  
...  
Keyword(s):  
Carbon Fibre ◽  
Process Parameters ◽  
Grey Relational Analysis ◽  
Relational Analysis ◽  
Reinforced Polymer ◽  
Carbon Fibre Reinforced Polymer ◽  
Fibre Reinforced Polymer ◽  
Grey Relational ◽  
Scanning Electron

The article presents the milled surface quality of Uni-Directional Carbon Fibre Reinforced Polymer (UD-CFRP) composites from Taguchi’s and grey relational analysis. The novelty is demonstrating the possibility of detecting the surface defects in polymer composites during milling using SEM analysis. The material used for this study is UD-CFRP composite laminates and made by hand-layup process. All the milling operations were carried out using a solid tungsten carbide end milling tool and experiments conducted on CNC milling machine. Taguchi L9, 3-level orthogonal array was considered for experimentation. Analysis of Variance (ANOVA) was conducted to explore the significance of each individual input process parameters on multiple performance characteristics. Optimal process parameters are thoroughly validated by grey relational grade achieved by the grey relational analysis for multi performance characteristics. Finally, experimental results were correlated and analyzed with scanning electron micrographs using Scanning Electron Microscope (SEM).

A Pythagorean fuzzy ANP-QFD-Grey relational analysis approach to prioritize design requirements of sustainable supply chain

2022 ◽  
pp. 1-15
Author(s):  
Zhenxing Peng ◽  
Lina He ◽  
Yushi Xie ◽  
Wenyan Song ◽  
Jue Liu ◽  
...  
Keyword(s):  
Supply Chain ◽  
Grey Relational Analysis ◽  
Quality Function Deployment ◽  
Sustainable Supply Chain ◽  
Pythagorean Fuzzy Set ◽  
Fuzzy Anp ◽  
Uncertain Environment ◽  
Relational Analysis ◽  
Design Requirements ◽  
Grey Relational

A sustainable supply chain (SSC) is vital for company’s sustainability success, so it is imperative to identify and prioritize SSC’s design requirements (DRs) for better SSC planning. For customer-centric markets, the customer requirements (CRs) need to be integrated into SSC’s DRs. This paper thus proposes a customer-centric approach based on Analytic Network Process (ANP), Quality Function Deployment (QFD), Grey Relational Analysis (GRA), and Pythagorean Fuzzy Set (PFS) to rank SSC’s DRs, considering CRs and information ambiguity. The PFS is combined with ANP, QFD, and GRA to better handle uncertainty in the SSC. The Pythagorean fuzzy ANP is applied to analyze the correlations among the sustainable CRs and determine the corresponding weights. The sustainable CRs are transformed into the DRs using the Pythagorean fuzzy QFD. The relationships among the resulting DRs are analyzed through Pythagorean fuzzy GRA to prioritize DRs. The approach is validated through a case study. The results obtained in this paper shows that the proposed method is efficient to prioritize DRs of SSC with the consideration of sustainable CRs under uncertain environment. The novelties of proposed method are that it not only offers a customer-oriented SSC planning method through the integration of ANP, QFD and GRA, but also can reflect the uncertain information with a broader membership representation space via PFSs. Based on the proposed method, the decision-maker can conduct comprehensive analysis to prioritize DRs and design appropriate SSC to fulfill CRs under uncertain environment.

scholarly journals A scale development of industrial designer ability index through quality function deployment and grey relational analysis methods

2016 ◽  
Vol 8 (12) ◽  
pp. 168781401668220 ◽  
Author(s):  
Yann-Long Lee ◽  
Feng Che Tsai ◽  
Shuo-Fang Liu ◽  
Yuan-Chin Hsu
Keyword(s):  
Grey Relational Analysis ◽  
Quality Function Deployment ◽  
Industrial Design ◽  
Assessment Scale ◽  
Senior Year ◽  
Self Assessment ◽  
Quality Function ◽  
Relational Analysis ◽  
Ability Index ◽  
Grey Relational

In recent years, the design and development capabilities, which provided products with vitality and value, had become one of the key factors in transforming and upgrading enterprises. Also, the industrial design ability had become a powerful weapon in enhancing business competitiveness. This study aimed at developing a self-assessment scale to evaluate the pre-service capabilities of industrial design students and it was found to be useful also in analyzing the ability levels of professional designer after the self-assessment scale was established. According to the literature review and interviews with experts, this study summarized the categories and indicators of professional abilities of industrial designers. Next, grey relational analysis was applied for analyzing these categories and indicators, then the weight between these indicators were determined through the method of quality function deployment, and finally, these indicators were further transferred into questions to become a pre-service self-assessment scale with 70 items, named industrial design ability index questionnaire. The industrial design ability index assessment scale was validated using 211 college students ranging from freshman to senior year. The industrial design ability index score shows a direct relationship between designer skills and years in school from freshman to senior year and verified that the industrial design ability index is able to assess the level of experiences of an industrial designer.

scholarly journals Grey Relational Analysis on Factors of the Quality of Web Service

2012 ◽  
Vol 33 ◽  
pp. 1992-1998 ◽  
Author(s):  
Xiao-Cong Xiao ◽  
Xiang-Qun Wang ◽  
Kai-Yao Fu ◽  
Yi-Jiang Zhao
Keyword(s):  
Web Service ◽  
Grey Relational Analysis ◽  
Relational Analysis ◽  
Quality Of Web Service ◽  
Grey Relational

scholarly journals Analysis of injection molding for computer cooling fans by Taguchi method and grey relational analysis

Filomat ◽  
2016 ◽  
Vol 30 (15) ◽  
pp. 4199-4211
Author(s):  
Chi-Hung Lo
Keyword(s):  
Injection Molding ◽  
Taguchi Method ◽  
Grey Relational Analysis ◽  
Operating Conditions ◽  
Influential Factor ◽  
Injection Molding Process ◽  
Melt Temperature ◽  
Relational Analysis ◽  
Grey Relational

Various factors affect the quality of a plastic product during the injection molding process. In this study, the quality engineering planning method, Taguchi Method, and grey relational analysis were used in this study to determine these factors and the Moldflow Plastics Insight (MPI) was used to conduct the moldflow analysis. By varying different types of operating conditions, the results obtained from the experiments were analyzed so as to verify the influence of each factor on the quality of the final product. The optimal processing parameters which can reduce the mold tryout time and the analysis cost were then determined. The plastic impeller of a computer cooling fan is selected as the case study and the goal is to resolve the warping problems. The deviations in the shear stress distribution as obtained by varying the S/N ratio of variance factors during the experiments are in agreement with the results of analyzing the grey information relational degrees. The most influential factor is the mold temperature, followed sequentially by the fill time, fill pressure, and melt temperature.

scholarly journals Evaluation of the marine economic development quality in Qingdao based on entropy and grey relational analysis

2019 ◽  
Vol 2 (1) ◽  
pp. 29-38 ◽  
Author(s):  
Peide Liu ◽  
Xiaoxiao Liu ◽  
Hongyu Yang
Keyword(s):  
Economic Development ◽  
Grey Relational Analysis ◽  
Evaluation Index System ◽  
Entropy Model ◽  
Content Type ◽  
Relational Analysis ◽  
Development Capacity ◽  
Marine Economy ◽  
Grey Relational

Purpose Accurately judging the quality of marine economic development is the premise of grasping the level and status of marine economic development. In order to scientifically evaluate the development quality of regional marine economy, the purpose of this paper is to select the marine area of Qingdao as the research object, and construct a marine economic development quality evaluation index system with 16 indicators. Design/methodology/approach The raw data is normalized by the range conversion method, and the weight of the index is determined by the information entropy model. Further, the grey relational analysis (GRA) method is used to evaluate the quality of marine economic development of Qingdao from 2012 to 2017. Findings The results show that the marine economic development capacity of Qingdao is with the generally increasing trend, the total marine economy is with on the rising trend, the marine storage and transportation capacity, and marine ecological environment are first decreased, and then increased. The utilization of marine resources is generally decreasing, and the comprehensive management of oceans varies with the changes of environment and economy. Therefore, in view of the development capacity of marine economy, the coordinated development of economy and environment should be carried out. Originality/value This paper uses the GRA to evaluate the quality of marine economic development and provides a reference for the development of marine economy in Qingdao.

Evaluation of Information Security Controls in Organizations by Grey Relational Analysis

2011 ◽  
Vol 2 (3) ◽  
pp. 36-54 ◽  
Author(s):  
Angel R. Otero ◽  
Abdel Ejnioui ◽  
Carlos E. Otero ◽  
Gurvirender Tejay
Keyword(s):  
Information Security ◽  
Grey Relational Analysis ◽  
Security Controls ◽  
Relational Analysis ◽  
Novel Approach ◽  
Grey Relational ◽  
Goals And Objectives ◽  
Application Specific

In an era where dependence of information systems is significantly high, the threat of incidents related to information security that could jeopardize the information held by is becoming critical. Alarming facts within the literature point to inadequacies in information security practices, particularly the evaluation and prioritization of information security controls in organizations. Research efforts have resulted in various methodologies developed to deal with the ISC assessment problem. A closer look at these traditional methodologies highlights various weaknesses that can prevent effective assessments of information security controls in organizations. This research proposes a novel approach using Grey Relational Analysis to quantify the importance of each information security control taking into account organizations’ goals and objectives. Through a case study, the approach is proven successful in providing a way for measuring the quality of information security controls based on multiple application-specific criteria.

Prioritizing technical requirements in QFD by integrating grey relational analysis method and analytic network process approach

2015 ◽  
Vol 5 (1) ◽  
pp. 117-126 ◽  
Author(s):  
Chuanmin Mi ◽  
Weiguo Xia
Keyword(s):  
Grey Relational Analysis ◽  
Quality Function Deployment ◽  
Manufacturing Industry ◽  
Analytic Network Process ◽  
Design Stage ◽  
Content Type ◽  
Relational Analysis ◽  
Technical Requirements ◽  
Network Process ◽  
Grey Relational

Purpose – No matter in product design stage or product quality improvement stage, the product technical requirements (PTRs) impacting on product performance are mainly identified and improved to optimize customer needs (CNs) as greatly as possible. The purpose of this paper is to use a new approach to accurately and properly prioritize PTRs in Quality Function Deployment (QFD). Design/methodology/approach – Considering the relationship between CNs and PTRs in QFD hard to quantitatively measure and lack of adequate information, the grey relational analysis (GRA) is applied. Besides, owing to the inherent inner dependencies of CNs as well as QFD, the analytic network process (ANP) which is an effective tool to take into account the inner dependencies with network is utilized. Finally, an integrated framework based on GRA method and ANP approach is proposed to determine the importance degrees of PTRs in designing a product. Findings – The calculation results of the application show that the proposed framework by integrating GRA and ANP is able to determine the importance degrees of PTRs in design a product well. Practical implications – In the application part the authors can see the proposed framework can be applied to PVC window systems. Owing to that traditional QFD method has been widely used in many fields such as manufacturing industry and service industry, actually the proposed framework has great potential application in the real word. Originality/value – This paper succeeds in proposing a new framework by integrating GRA and ANP to determine the importance degrees of PTRs in QFD.

scholarly journals Quality Evaluation of Prunellae Spica Based on Simultaneous Determination of Multiple Bioactive Constituents Combined with Grey Relational Analysis

2017 ◽  
Vol 12 (7) ◽  
pp. 1934578X1701200
Author(s):  
Zi-Xiu Liu ◽  
Yu-Jiao Hua ◽  
Sheng-Nan Wang ◽  
Li-Si Zou ◽  
Xun-Hong Liu ◽  
...  
Keyword(s):  
Simultaneous Determination ◽  
Grey Relational Analysis ◽  
Dynamic Change ◽  
Bioactive Components ◽  
Pentacyclic Triterpene ◽  
Traditional Chinese Herbal Medicine ◽  
Relational Analysis ◽  
Grey Relational

Prunellae Spica (PS) is an important traditional Chinese herbal medicine (TCM) with massive consumption because of its therapeutical and seasoning effects. However, little attention has been paid to simultaneous analyze its bioactive components for quality control of PS based on its different growing habitats and different growth periods. In this study, the quality of PS was evaluated based on simultaneous determination of multiple bioactive components combined with grey relational analysis (GRA). A reliable method based on high-performance liquid chromatography tandem triple quadrupole mass spectrometry (HPLC-QTRAP-MS/MS) was established to simultaneously determine the contents of 21 components in PS, including 9 phenolic acids, 3 coumarins, 8 flavonoids and 1 pentacyclic triterpene. Furthermore, GRA was performed to evaluate the quality of PS samples according to the contents of these 21 components. The results showed that the quality of PS harvested on withering period, cultivated in Anhui was better than that of other PS samples. The proposed method is useful for the overall assessment on the quality of PS, and this study provides valuable information for revealing the dynamic change laws of metabolite accumulation in PS and choosing the most suitable harvesting time and genuine producing area of PS to obtain the best quality.

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