当前位置: X-MOL 学术Discret. Dyn. Nat. Soc. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
A Base on Fuzzy Theory to Supplier Evaluation and Selection Optimization
Discrete Dynamics in Nature and Society ( IF 1.3 ) Pub Date : 2020-10-05 , DOI: 10.1155/2020/5241710
Chun-Tsai Lin

Supplier evaluation and selection is critical for schools to save costs. Supplier evaluation indexes must be developed before evaluation. In addition, how to select the most appropriate supplier and make the best procurement decision are also important topics. This study selected three most important supplier evaluation and selection criteria and established a supplier evaluation model through fuzzy logic inference using MATLAΒ. This method can overcome the defects in some methodologies and improve organizational capability and competitiveness. This model can also be used to address practical supplier evaluation and selection matters. Modelling took several steps, including fuzzification, fuzzy rule base, fuzzy inference engine, and defuzzification. Then, a supplier evaluation model was established based on the fuzzy rules obtained from the abovementioned operations. This model can provide a basis for school purchasers or managers in executing supplier selection policies in the future.

中文翻译:

基于模糊理论的供应商评价与选择优化

供应商评估和选择对于学校节省成本至关重要。供应商评估指标必须在评估之前制定。此外,如何选择最合适的供应商并做出最佳的采购决策也是重要的话题。本研究选择了三个最重要的供应商评估和选择标准,并使用MATLAΒ通过模糊逻辑推理建立了供应商评估模型。这种方法可以克服某些方法上的缺陷,提高组织能力和竞争力。该模型还可以用于解决实际的供应商评估和选择事宜。建模采取了几个步骤,包括模糊化,模糊规则库,模糊推理引擎和去模糊化。然后,基于从上述操作中获得的模糊规则,建立了供应商评估模型。该模型可以为学校购买者或管理者将来执行供应商选择政策提供基础。
更新日期:2020-10-05
down
wechat
bug