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首页> 外文会议>International Conference on Electronic Business（ICEB 2004) vol.2; 20041205-09; Beijing(CN) >Monitoring the Supply of Products in a Supply Chain Environment: a Fuzzy Neural Approach
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Monitoring the Supply of Products in a Supply Chain Environment: a Fuzzy Neural Approach

机译：在供应链环境中监控产品供应：模糊神经方法

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摘要

The fuzzy logic is applied to resolve the monitoring problem of products quality and products quantity increasingly varying as market requirement. A series of fuzzy rules are employed and the fuzzy system may generate suggested supply change rate. At the same time, the operation of supplier is also dynamically changing and the evaluation and selection for supplier are the basis of supply -chain co-operation. So whether it is scientific to select a supplier is crucial for sustaining and developing a company. Therefore, in this paper the neural network is introduced to dynamically assess suppliers and recommend to substituting for new ones when necessary, only supplementing fuzzy logic system with its advantages. This paper describes the methodology for the deployment of this proposed hybrid approach to enhance the machine intelligence of a supply chain network with the description of a case study to exemplify its underlying principles.
机译：应用模糊逻辑解决了产品质量和产品数量随市场需求变化的监控问题。采用了一系列模糊规则，并且模糊系统可以产生建议的供应变化率。同时，供应商的运作也在动态变化，对供应商的评估和选择是供应链合作的基础。因此，选择供应商是否科学对于维持和发展公司至关重要。因此，在本文中，引入了神经网络来动态评估供应商，并在必要时建议替代新供应商，仅以其优势补充模糊逻辑系统。本文通过案例研究的描述来说明此提议的混合方法的部署方法，以增强供应链网络的机器智能，以举例说明其基本原理。

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