Evaluation of inventory replenishment policies on supply chain performance with grey relational analysis

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.

Download Full-text

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

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-212131 ◽

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.

Download Full-text

Research on Profit Allocation of Supply Chain Based on Grey Relational Analysis

2009 International Conference on Management and Service Science ◽

10.1109/icmss.2009.5301346 ◽

2009 ◽

Author(s):

Hong Huo ◽

Yang Liu

Keyword(s):

Supply Chain ◽

Grey Relational Analysis ◽

Relational Analysis ◽

Profit Allocation ◽

Grey Relational

Download Full-text

The Comprehensive Performance Evaluation to LSSC Based on Grey Relational Analysis

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.785-786.1477 ◽

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.

Download Full-text