Supplier Selection and Evaluation Based on Grey Correlation Degree and TOPSIS

2014 ◽  
Vol 11 (9) ◽  
pp. 3097-3106 ◽  
Author(s):  
Xinli Wang
Author(s):  
Congjun Rao ◽  
Mark Goh ◽  
Junjun Zheng

Against the backdrop of responsible economic development, sustainable supply chain management (SSCM) is key to achieving the sustainable development for enterprise and industry. In this regard, sustainable supplier selection is crucial in SSCM. By integrating the three dimensions of sustainability, economic, environmental and social, this paper presents a new evaluation system for supplier selection from a sustainability perspective. Specifically, we design a decision mechanism for sustainable supplier selection based on linguistic 2-tuple grey correlation degree. In this proposed mechanism, the hybrid attribute values whereby real numbers, interval numbers and linguistic fuzzy variables coexist are transformed into linguistic 2-tuples. A ranking method based on linguistic 2-tuple grey correlation degree is then presented to rank the suppliers. An application example is presented to highlight the implementation, availability and feasibility of the proposed decision making mechanism.


2015 ◽  
Vol 752-753 ◽  
pp. 1384-1392
Author(s):  
Bang Lei Wu ◽  
Xiao Juan Chen ◽  
Jing Yu ◽  
Qing Sun

With application of intelligence technology in the manufacturing industry, the supply chain of manufacturing industry is more and more competitive. Strategic supplier is becoming more and more key element for the success of manufacturing enterprise. At present, there are many methods on selection and evaluation of strategic supplier of manufacturing enterprise. Analytical hierarchy process and grey correlation analysis is method which is used to choose strategic supplier of manufacturing enterprise by building optimum reference date and solving grey correlation degree. These have great effects in the enterprise practice in the aspects of qualitative diagnosis, quantitative diagnosis and grey information processing.


2020 ◽  
Vol 165 ◽  
pp. 06033
Author(s):  
Zhang Lin ◽  
Zhang Qinghe ◽  
Zhang Xue ◽  
Gao Hui

With the development of new energy and flexible load, there are many kinds of power and load characters in the power grid. It’s necessary to considerate the similarity between generation output and load when it’s market clearing. First, similarity analysis of generation-load curve based on the grey correlation degree is introduced, correlation between power generation enterprises and power users can be calculated. Then, market clearing model is built. market clearing mechanism is set which considering the matching degree between generation and load. The technological process of market clearing is given. Last, the effectiveness of the proposed clearing model is verified by an example.


2013 ◽  
Vol 345 ◽  
pp. 507-510
Author(s):  
Rong Gu ◽  
Jin Sha Yuan ◽  
Fei Lv

Accurate assessment for the operational status of the transformer bushing is not only a prerequisite for the implementation of condition-based maintenance, but also to ensure the normal operation of the transformer and the whole power equipment conditions. In the paper, a model of weight absolute grey correlation degree was used to assess the transformer bushing state. Firstly, determined the assessment indicators and handled them. Secondly, the weights, correlation coefficients and each association were calculated. Thirdly, to compare the largest association of assessment indicators in grades as the transformer bushing final run state. Finally, give the state assessment results, according to the remark set. The result shows the model works well.


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