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Yu-Hsin Lin
Researcher at Minghsin University of Science and Technology
Publications - 19
Citations - 719
Yu-Hsin Lin is an academic researcher from Minghsin University of Science and Technology. The author has contributed to research in topics: Wafer fabrication & Bottleneck. The author has an hindex of 9, co-authored 18 publications receiving 660 citations.
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Optimization of turning operations with multiple performance characteristics using the Taguchi method and Grey relational analysis
TL;DR: In this paper, the authors investigated the optimization of CNC turning operation parameters for SKD11 (JIS) using the Grey relational analysis method and found the degree of influence for each controllable process factor onto individual quality targets.
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Research on using ANP to establish a performance assessment model for business intelligence systems
TL;DR: An analytic network process (ANP) based assessment model was constructed to assess the effectiveness of BI systems and reveals that 24% improvement in effectiveness has been reached, which consists with the perception of the management level.
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The study of applying ANP model to assess dispatching rules for wafer fabrication
TL;DR: Analytical network process (ANP) method is used to construct a dispatching model based on the characteristics of all the production facilities on-site, in order to explore the relationship among various performance indicators and correlation between performance indicator and the dispatching rules.
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A study of optimization of injection molding process parameters for SGF and PTFE reinforced PC composites using neural network and response surface methodology
TL;DR: In this article, a hybrid method including back-propagation neural network (BPNN), genetic algorithm (GA), and response surface methodology (RSM) is proposed to determine an optimal parameter setting of the injection molding process.
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To construct a monitoring mechanism of production loss by using Fuzzy Delphi method and fuzzy regression technique - A case study of IC package testing company
Miao-Ling Wang,Yu-Hsin Lin +1 more
TL;DR: The Fuzzy Delphi and ranking methods were used to extract the most concerning issues through expert questionnaires and a fuzzy regression model was constructed and applied to clarify the relationships between the KPI's and the key management objective, the area of production loss.