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 Integrated analytical hierarchy process and grey relational analysis approach to measure supply chain complexity

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sujan Piya ◽  
Ahm Shamsuzzoha ◽  
Mohammed Khadem ◽  
Mahmoud Al Kindi
Keyword(s):  
Mathematical Model ◽  
Supply Chain ◽  
Analytical Hierarchy Process ◽  
Grey Relational Analysis ◽  
Extensive Literature ◽  
Content Type ◽  
Relational Analysis ◽  
Grey Relational ◽  
Hierarchy Process

PurposeThe purpose of this paper is to understand the drivers that create complexity in the supply chain and develop a mathematical model to measure the level of supply chain complexity (SCC).Design/methodology/approachThrough extensive literature review, the authors discussed various drivers of SCC. These drivers were classified into five dimensions based on expert opinion. Moreover, a novel hybrid mathematical model was developed by integrating analytical hierarchy process (AHP) and grey relational analysis (GRA) methods to measure the level of SCC. A case study was conducted to demonstrate the applicability of the developed model and analyze the SCC level of the company in the study.FindingsThe authors identified 22 drivers of SCC, which were further clustered into five complexity dimensions. The application of the developed model to the company in the case study showed that the SCC level of the company was 0.44, signifying that there was a considerable scope of improvement in terms of minimizing complexity. The company that serves as the focus of this case study mainly needs improvement in tackling issues concerning government regulation, internal communication and information sharing and company culture.Originality/valueIn this paper, the authors propose a model by integrating AHP and GRA methods that can measure the SCC level based on various complexity drivers. The combination of such methods, considering their ability to convert the inheritance and interdependence of drivers into a single mathematical model, is preferred over other techniques. To the best of the authors' knowledge, this is the first attempt at developing a hybrid multicriteria decision-based model to quantify SCC.

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.

The Comprehensive Performance Evaluation to LSSC Based on Grey Relational Analysis

2013 ◽  
Vol 785-786 ◽  
pp. 1477-1479
Author(s):  
Qiang Yang ◽  
Yi Zhuang
Keyword(s):  
Supply Chain ◽  
Grey Relational Analysis ◽  
Evaluation System ◽  
Evaluation Model ◽  
Grey Theory ◽  
Relational Analysis ◽  
Service Supply Chain ◽  
Set Up ◽  
Grey Relational ◽  
Full Consideration

Based on the full consideration of the structure and coordination in the service supply chain, an evaluation system focusing on evaluating the logistics service supply chain performance was set up. In this paper we introduce the grey theory into the evaluation system and construct an evaluation model based on grey relational analysis method. The example shows that the grey relational analysis can whiten the unascertained relationship between the evaluation factors effectively, reduce the influence of subjective factors, and improve the accuracy of the evaluation.

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.

Sign in / Sign up

Export Citation Format

Share Document