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Priority mix planning for semiconductor fabrication by fuzzy AHP ranking

机译:基于模糊层次分析法的半导体制造优先混合计划

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摘要

With today's keen competition, semiconductor market has changed from producer-oriented to customer-oriented. To be successful, companies need to consider both customer satisfaction in demand and the ultimate profit goal of companies. Semiconductor fabricators today must face an environment with multi-product types and multi-priority orders. Since semiconductor fabrication has a very complicated production process, the production planning of different products types and priority levels is an even more difficult task to experts. The objective of this study is to construct an analytical approach under a fuzzy subjective judgment environment, in which fuzzy analytic hierarchy process (AHP) method with entropy weight is utilized to deal with uncertainty, to generate performance ranking of different priority mixes. The results provide guidance to experts in a fab regarding strategies for accepting orders with the consideration of manufacturing efficiency in the aspects of product, equipment efficiency and finance.
机译:在当今激烈的竞争中,半导体市场已经从以生产者为中心转变为以客户为中心。为了取得成功,公司需要同时考虑需求中的客户满意度和公司的最终利润目标。今天的半导体制造商必须面对具有多种产品类型和多种优先顺序的环境。由于半导体制造的生产过程非常复杂,因此对于专家而言,不同产品类型和优先级的生产计划是一项更加艰巨的任务。这项研究的目的是在模糊的主观判断环境下构建一种分析方法,其中利用具有熵权的模糊层次分析法(AHP)来处理不确定性,从而生成不同优先级混合的性能等级。结果为制造厂的专家提供了接受订单策略的指导,并考虑了产品,设备效率和财务方面的制造效率。

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