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An FNLP Approach for Planning Energy-efficient Manufacturing: Wafer Fabrication as an Example

机译:规划节能制造的FNLP方法:晶片制造作为示例

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Energy efficiency is a key manufacturing goal. This paper propose a novel fuzzy nonlinear programming (FNLP) approach to production planning to minimize energy wastage due to poor quality control. Manufacturing is modeled a fuzzy yield learning process to quantify energy savings for each specific product, and these values can be summed to produce total power consumption for the factory. Finally, the proposed FNLP approach formulates and solves a FNLP problem to minimize the total energy consumption in the factory by optimizing the product mix. Some theoretical properties of the proposed FNLP approach are discussed. A wafer fab is used as an example to illustrate the applicability of the proposed FNLP approach, with experimental results showing a potential reduction of 17.2% of total power consumption by optimizing the product mix.
机译:能效是一个关键的制造目标。 本文提出了一种新颖的模糊非线性规划(FNLP)方法,生产计划,以最大限度地减少能源浪费由于质量差。 制造模糊了一个模糊产量学习过程,以量化每个特定产品的节能,并且可以总结这些值以产生工厂的总功耗。 最后,提出的FNLP方法配制并解决了FNLP问题,以通过优化产品组合来最小化工厂的总能耗。 讨论了所提出的FNLP方法的一些理论特性。 使用晶片Fab作为示例以说明所提出的FNLP方法的适用性,实验结果显示通过优化产品混合物的总功耗的潜在降低17.2%。

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