Machine Learning-Based Problem Space Reduction in Stochastic Programming Models: An Application in Biofuel Supply Chain Network Design

Machine Learning-Based Problem Space Reduction in Stochastic Programming Models: An Application in Biofuel Supply Chain Network Design

Biofuels derived from feedstock offer a sustainable source for meeting energy needs. The design of supply chains that deliver these fuels needs to consider quality variability with special attention to shipping costs, because biofuel feedstocks are voluminous. Stochastic programming models that cons...

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Bibliographic Details
Main Authors: Kolton Keith, Krystel K. Castillo-Villar, Adel Alaeddini
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Machine learning
supply chain design
biofuels
stochastic programming
Online Access:https://ieeexplore.ieee.org/document/10456917/

Internet

https://ieeexplore.ieee.org/document/10456917/

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