Supplier Evaluation and Selection Method Based on Multi-attribute Granulation

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Zhan, Feng^1

Engineering College, Fujian Jiangxia University, Fuzhou, China^1

关键词: Attribute weight;    Evaluation index;    Fast computation;    Knowledge reduction;    Multi-attributes;    Multiple attributes;    Production activity;    Supplier evaluation and selections;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/4/042029/pdf
DOI  :  10.1088/1757-899X/490/4/042029

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Enterprise plays the role of resource amplifier or resource converter in production activities, whose function is often closely related to the activities in a value chain. The procurement activity of the enterprise is one of the key links in a value chain. Supplier evaluation and selection in the procurement activity is critical to the quality of the final product. To deal with the problem that multiple attribute decision was there, determination of attribute weights was uncertain, and fast computation could not be achieved in traditional supplier evaluation and selection research. The granular computing is applied to supplier evaluation and selection research, which a multi-attribute based on bit granular matrix is used to study supplier evaluation and selection problem in a value chain. The attribute redundancy of evaluation index in mixed information is solved in this paper by using the knowledge reduction method of granular computing theory. The attribute weight matrix is calculated by the calculation method of attribute index weight based on knowledge, which is used to evaluate the importance of attributes. The experimental results show that this method can provide the reference for enterprises to select suppliers quickly and efficiently.