Search Results - Guiping Hu
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Machine Learning Methods for Quality Prediction in Production
Published 2020-12-01Get full textThe rising popularity of smart factories and Industry 4.0 has made it possible to collect large amounts of data from production stages. Thus, supervised machine learning methods such as classification can viably predict product compliance quality using manufacturing data collected during production....
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Improving Manufacturing Supply Chain by Integrating SMED and Production Scheduling
Published 2021-01-01Get full textGlobalization has led to a significant effect on today’s manufacturing sector. Manufacturers need to find new and innovative ways to increase efficiency and reduce waste in the manufacturing supply chain. Lean/six sigma tools can help companies increase production efficiency and stay in competition....
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Closed-Loop Supply Chain Network Design under Uncertainties Using Fuzzy Decision Making
Published 2021-03-01Get full textThe importance of considering forward and backward flows simultaneously in supply chain networks spurs an interest to develop closed-loop supply chain networks (CLSCN). Due to the expanded scope in the supply chain, designing CLSCN often faces significant uncertainties. This paper proposes a fuzzy m...
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Analyses of crop yield dynamics and the development of a multimodal neural network prediction model with G×E×M interactions
Published 2025-07-01Get full textThis study investigated how genotype, environment, and management (G×E×M) interactions influence yield and highlight the importance of accurate, early yield predictions for effective farm management and enhancing food security. We developed a yield prediction model capable of determining field-level...
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Optimal Irrigation Strategies and Adaptive Decision‐Making Under Groundwater Pumping Restrictions and Precipitation Uncertainties
Published 2025-07-01Get full textAbstract Innovative groundwater management strategies are needed to preserve aquifers for crop irrigation. For sustainability to be lasting, any strategy must balance environmental goals with the economic aims of farmers. These tradeoffs are difficult to manage due to the inherent uncertainty in far...
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