Strategic supplier selection in the added-value perspective:: An AI approach
被引:0
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作者:
Flórez-López, R
论文数: 0引用数: 0
h-index: 0
机构:
Univ Leon, Dept Econ & Business Adm, E-24071 Leon, SpainUniv Leon, Dept Econ & Business Adm, E-24071 Leon, Spain
Flórez-López, R
[1
]
机构:
[1] Univ Leon, Dept Econ & Business Adm, E-24071 Leon, Spain
来源:
PROCEEDINGS OF THE 7TH JOINT CONFERENCE ON INFORMATION SCIENCES
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2003年
关键词:
D O I:
暂无
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
Supplier selection constitutes one of the most crucial components of the purchasing function, being essential to improve the entity's competitiveness and to increase customer satisfaction. There are different proposals to perform this task, being the added-value perspective one of the most interesting. This theory uses both quantitative and qualitative data for supplier selection, being its main aim to calculate the ability of the supplier to create value for the customer. However, difficulties in the measurement of qualitative items usually avoid its application, reducing firm's capacity to improve efficiency. To solve it, we intend to combine both types of data, using Fuzzy Theory and new emergent paradigms, to obtain an overall ranking of suppliers' suitability.