Machine Learning-Based Problem Space Reduction in Stochastic Programming Models: An Application in Biofuel Supply Chain Network Design
Author:
Affiliation:
1. Mechanical Engineering Department, Texas Sustainable Energy Research Institute, The University of Texas at San Antonio, San Antonio, TX, USA
Funder
National Institute of Food and Agriculture (NIFA), U.S. Department of Agriculture (USDA), under the Hispanic Serving Institutions Education Grants Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10456917.pdf?arnumber=10456917
Reference22 articles.
1. Modeling and optimization of biomass quality variability for decision support systems in biomass supply chains
2. Optimal design and operation of a second-generation biofuels supply chain;Geismar;IISE Trans.,2021
3. Design of a biofuel supply network under stochastic and price-dependent biomass availability
4. A two-stage stochastic programming model for biofuel supply chain network design with biomass quality implications
5. Applying deep learning to the newsvendor problem
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1. Integrating bio-hubs in biomass supply chains: Insights from a systematic literature review;Journal of Cleaner Production;2024-08
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