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Assessing flexibility in supply chain using adaptive neuro fuzzy inference system

机译:使用自适应神经模糊推理系统评估供应链的灵活性

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Supply chain flexibility assessment (SCFA) has been considered as a major determinant of competitiveness in world class manufacturing. The environmental issues as well as speed, variety, flexibility and integration in production line come along with customer relationship and mass customization concept should come to light in today's research studies. To achieve competitive edge, companies must align with suppliers and customers to streamline operation as well as flexibility characteristics beyond individual companies. How ever, so far a little effort has been made to assess flexibility in recent years. Therefore, due to ambiguity of flexibility assessment an ANFIS model has been developed for evaluating flexibility in supply chain, considering flexibility attributes such as operation, new product and responsiveness. This evaluation helps managers to perform gap analysis between existent flexibility level and the desired one.
机译:供应链灵活性评估(SCFA)被认为是世界级制造业竞争力的主要决定因素。在当今的研究中,环境问题以及生产线的速度,多样性,灵活性和集成性以及与客户的关系以及大规模定制的概念伴随而来。为了获得竞争优势,公司必须与供应商和客户保持一致,以简化单个公司之外的运营和灵活性特征。但是,到目前为止,近年来已经做出了一些努力来评估灵活性。因此,由于灵活性评估的含糊不清,已经开发了ANFIS模型来评估供应链中的灵活性,同时考虑了诸如运营,新产品和响应能力之类的灵活性属性。这项评估有助于管理人员在现有的灵活性水平和期望的灵活性水平之间进行差距分析。

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