An FNLP approach for planning energy-efficient manufacturing: Wafer fabrication as an example

Yi Chi Wang*, Tin Chih Toly Chen

*此作品的通信作者

研究成果: Conference article同行評審

7 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁(從 - 到)439-446
頁數8
期刊Procedia Manufacturing
38
DOIs
出版狀態Published - 1 1月 2019
事件29th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2019 - Limerick, Ireland
持續時間: 24 6月 201928 6月 2019

指紋

深入研究「An FNLP approach for planning energy-efficient manufacturing: Wafer fabrication as an example」主題。共同形成了獨特的指紋。

引用此