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A neural networks model for green supplier selection

机译:绿色供应商选择的神经网络模型

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摘要

There have been studies on supplier selection in the past. But organisations today are also interested in evaluating their suppliers on green and sustainability criteria. With increasing awareness of green and sustainable processes and products, there is pressure on the organisations to select only green suppliers for their operations. While this is a step towards more responsible organisations, managing the suppliers of an organisation becomes an important task. This clearly warrants a structured approach for evaluation of suppliers on green and sustainability criteria. This paper models the relationship between these criteria and the supplier selection. A neural networks model is used for analysis of the data obtained from samples in the Indian automotive industry. MATLAB is used for analysis of the neural networks model. This model captures any nonlinear relationship between the inputs and performs better compared to many other techniques. The output of the neural networks model is used for rating a supplier and hence to arrive at a decision. This model is helpful for managers as it acts as an objective assessment criterion for suppliers.
机译:过去有关于供应商选择的研究。但是,今天的组织也有兴趣评估其在绿色和可持续性标准上的供应商。随着绿色和可持续流程和产品的认识,有压力,这些组织仅为其运营选择绿色供应商。虽然这是迈向更负责任的组织的一步,但管理组织的供应商成为一项重要任务。这清楚可根据绿色和可持续性标准评估供应商的结构化方法。本文模拟了这些标准与供应商选择之间的关系。神经网络模型用于分析来自印度汽车工业中的样本中获得的数据。 MATLAB用于分析神经网络模型。与许多其他技术相比,该模型捕获输入之间的任何非线性关系并更好地执行。神经网络模型的输出用于评级供应商,从而达到决定。此模型对管理人员有用,因为它充当供应商的客观评估标准。

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