基于BP神经网络和灰色关联分析的供应商选择

Ke Chen, Zhong Xuan, Xianlian Shang
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引用次数: 8

摘要

工业中的供应商选择是一个跨职能的群体决策问题,通常通过非程序化的决策过程来解决,并涉及对公司的长期承诺。近年来,如何在供应链中确定合适的供应商已成为一个关键的战略考虑。然而,这些决策的本质通常是复杂和非结构化的。特别是一些决策数据是未定义的、模糊的、模糊的数据。特别是在供应商选择中权重的确定是非常困难的。考虑到这些情况,本文首先将三角模糊数转换为清晰的数据,然后利用BP神经网络计算供应商选择指标的权重,得到的权重可靠合理,考虑到灰色关联分析对供应商选择问题的适用性,利用灰色关联分析选择最佳供应商。实证研究证明了该系统的程序,并确定了合适的供应商。
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Selection of Suppliers Based on BP Neutral Networks and Grey Correlation Analysis
Supplier selection in industry is a cross-functional, group decision-making problem, frequently solved by a non-programmed decision-making process, and involving long-term commitment for a company. During recent years, how to determine suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. Especially, some decision-making data is undefined, vague and fuzzy data. Especially the determination of weight for supplier selection is very difficult. Considering these circumstances, in this paper, at first we transform the triangular fuzzy numbers into crisp date, and then we use the BP neutral networks to calculate the weight of indexes for supplier selection, the weight we obtained is reliable and reasonable, considering the suitability of grey correlation analysis for supplier selection problem, we use the grey correlation analysis to select the best supplier, Finally, an empirical study is conducted to demonstrate the procedure of the proposed system and identify the suitable supplier.
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