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Amy H. I. Lee

Researcher at Chung Hua University

Publications -  111
Citations -  5404

Amy H. I. Lee is an academic researcher from Chung Hua University. The author has contributed to research in topics: New product development & Renewable energy. The author has an hindex of 32, co-authored 110 publications receiving 4896 citations. Previous affiliations of Amy H. I. Lee include National Chiao Tung University.

Papers
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A green supplier selection model for high-tech industry

TL;DR: With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.
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A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan

TL;DR: An approach based on the fuzzy analytic hierarchy process (FAHP) and balanced scorecard (BSC) for evaluating an IT department in the manufacturing industry in Taiwan is constructed and is suggested to be a good tool for solving other multiple-criteria decision-making problems.
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A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks

TL;DR: A fuzzy analytic hierarchy process (FAHP) model, which incorporates the benefits, opportunities, costs and risks (BOCR) concept, is constructed to evaluate various aspects of suppliers to propose an analytical approach to select suppliers under a fuzzy environment.
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Analytic network process (ANP) approach for product mix planning in semiconductor fabricator

TL;DR: A hierarchical network model based on various factors and the interactions of factors is presented and can be easily understood and followed by administrators to determine the most efficient product mix for a fab.
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Multi-criteria decision making on strategic selection of wind farms

TL;DR: In this paper, a new multi-criteria decision-making (MCDM) model, based on the analytic hierarchy process (AHP) associated with benefits, opportunities, costs and risks (BOCR), is proposed to help select a suitable wind farm project.