Modified Grey Relational Analysis Integrated with Grey Dematel Approach for the Performance Evaluation of Retail Stores

2016 ◽  
Vol 15 (02) ◽  
pp. 353-386 ◽  
Author(s):  
Tuncay Ozcan ◽  
Fatih Tuysuz
Keyword(s):  
Performance Evaluation ◽  
Grey Relational Analysis ◽  
Performance Indicators ◽  
Evaluation Model ◽  
Retail Stores ◽  
Retail Sector ◽  
Strategic Decisions ◽  
Relational Analysis ◽  
Performance Evaluation Model ◽  
Grey Relational

Performance evaluation is one of the most important problems for retail chains and may have effect on tactical and strategic decisions. This paper proposes a grey-based multi-criteria performance evaluation model for retail sector. This model integrates Decision-Making Trial and Evaluation Laboratory (DEMATEL) and modified Grey Relational Analysis (GRA) methods. First, the grey-based DEMATEL method is used for determining the importance of performance indicators to be used in GRA based on the experts’ assessments. Then, the proposed modified GRA method is used for the performance evaluation and ranking of retail stores with respect to the predetermined performance indicators. Finally, the effectiveness and the applicability of the developed approach are illustrated with a case study with the actual data taken from a retail chain in Turkey.

Water abundance analysis of aquifer in coal roof based on grey relational analysis and analytic hierarchy process

2016 ◽  
Vol 11 (2) ◽  
pp. 487-494
Author(s):  
Li Bo
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Analytic Hierarchy ◽  
Water Abundance ◽  
Relational Analysis ◽  
Major Factors ◽  
Grey Relational ◽  
Hierarchy Process

As water abundance of aquifer of coal roof significantly influences roof water hazard, evaluating and grading the degree of water abundance are important in practical application. By analyzing the influencing factors of water abundance of aquifer, an evaluation index system and a grading standard for the water abundance were established integrating quantitative and qualitative indexes. Meanwhile, according to the grey relation characteristics of the major factors influencing water abundance, a multi-factor evaluation model for water abundance was constructed based on grey relational analysis and analytic hierarchy process. The model can objectively reveal the influences of the multiple factors on the evaluation of water abundance. Furthermore, the method was verified by comprehensively evaluating the water abundance of the aquifer of coal roof in a working face of Pingshuo Coal Mine in Shanxi, China using the model. The method provides basis for the research on the evaluation of water abundance of aquifer in coal roof.

scholarly journals Evaluation of banks’ commercial credit applications using the analytic hierarchy process and Grey relational analysis: A comparison between public and private banks

2015 ◽  
Vol 18 (3) ◽  
pp. 308-324 ◽  
Author(s):  
Zeliha Kaygısız Ertuğ ◽  
Nuray Girginer
Keyword(s):  
Analytic Hierarchy Process ◽  
Grey Relational Analysis ◽  
Evaluation Model ◽  
Analytic Hierarchy ◽  
Public And Private ◽  
Relational Analysis ◽  
Private Banks ◽  
The Analytic Hierarchy Process ◽  
Grey Relational ◽  
Hierarchy Process

 The purpose of this study is to develop an evaluation model that considers the quantitative and qualitative criteria for the appropriate selection of firms demanding commercial credit for both public and private banks. In this paper, the authors propose an integrated model that combines the Analytic Hierarchy Process (AHP) and Grey Relational Analysis (GRA) into a single evaluation model. The model is illustrated with a case study on bank experts to demonstrate the effectiveness of this integrated method for four firms that applied for a commercial loan. In this study, AHP is applied to determine the weight of the criteria, and GRA is performed to determine the most appropriate firm. The results of this study indicate that, whereas firm morality and news criteria are the main criteria with the highest priority, sale and marketing constructions are the main criteria with the lowest priorities for both public and private banks. In addition, according to the results of GRA, the most appropriate firm for a public bank is Firm 1, and the most appropriate firm for a private bank is Firm 2.

scholarly journals Evaluation of Supplier Selection in Manufacturing Industries using Grey Relational Analysis- A Case Study

2014 ◽  
pp. 104-109
Author(s):  
Veera Bahadur Aravind Reddy K ◽  
Saras Chandra T Reddy ◽  
G. Rajyalakshmi
Keyword(s):  
Grey Relational Analysis ◽  
Supplier Selection ◽  
Selection Process ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Objective Evaluation ◽  
Supply Contract ◽  
Relational Analysis ◽  
Order Quantities ◽  
Grey Relational

Selection of supplier is one of the most critical activities performed by the organizations because of its strategic importance. Over the years a number of quantitative approaches have been applied to supplier selection problems. The selection process is commonly based on their previous performance records, so the ranking determines which supplier will get their supply contract. However a survey on current evaluation methods shows that they are all less objective and lack accurate data processing. These evaluation criteria often conflict, however and it is frequently impossible to find a supplier that excels in all areas. In addition some of the criteria are quantitative and some are qualitative. Thus a methodology is needed that can capture both subjective and objective evaluation measures. In this paper, we presented AHP and Grey Relational Analysis to establish a complete and accurate evaluation model for selecting suppliers based on multiple criteria and places the order quantities among them for a spinning industry

Data Processing in the Application of Grey Relational Analysis Model in Regional Economic Openness of Evaluation System

2014 ◽  
Vol 685 ◽  
pp. 744-748 ◽  
Author(s):  
Liang Liang Yin ◽  
Zhu Hua Han ◽  
Meng Wu
Keyword(s):  
Grey Relational Analysis ◽  
Evaluation System ◽  
Evaluation Model ◽  
Principal Component ◽  
Original Data ◽  
Analysis Model ◽  
Regional Economic ◽  
Relational Analysis ◽  
Index Value ◽  
Grey Relational

In the process of multi index analysis and evaluation, the index value is normalized and standardized through non-dimensional processing of the original data. The index weight is determined according to each index relative principal component contribution through principal component analysis and principal component extraction. Then, a combined evaluation model will be formed through the grey relational analysis, calculation of each index according to grey weighted relative degree. Scientific applicability of the model will be evaluated through regional economic opening degrees.

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