標題: A fuzzy collaborative intelligence approach for estimating future yield with DRAM as an example
作者: Chen, Toly
Wang, Yu-Cheng
工業工程與管理學系
Department of Industrial Engineering and Management
關鍵字: Green manufacturing;Yield;Fuzzy collaborative intelligence;Learning model;Artificial neural network
公開日期: 1-Oct-2018
摘要: To increase the ecological sustainability of manufacturing, enhancing the yield of each product is a critical task that eliminates waste and increases profitability. An equally crucial task is to estimate the future yield of each product so that the majority of factory capacity can be allocated to products that are expected to have higher yields. To this end, a fuzzy collaborative intelligence (FCI) approach is proposed in this study. In this FCI approach, a group of domain experts is formed. Each expert constructs an artificial neural work (ANN) to fit an uncertain yield learning process for estimating the future yield with a fuzzy value; in past studies, however, uncertain yield learning processes were modeled only by solving mathematical programming problems. In this research, fuzzy yield estimates from different experts were aggregated using fuzzy intersection. Then, the aggregated result was defuzzified with another ANN. A real dynamic random access memory case was utilized to validate the effectiveness of the proposed methodology. According to the experimental results, the proposed methodology outperformed five existing methods in improving the estimation accuracy, which was measured in terms of the mean absolute error and the mean absolute percentage error.
URI: http://dx.doi.org/10.1007/s12351-017-0312-y
http://hdl.handle.net/11536/148183
ISSN: 1109-2858
DOI: 10.1007/s12351-017-0312-y
期刊: OPERATIONAL RESEARCH
Volume: 18
起始頁: 671
結束頁: 688
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