A branch-and-price approach for a biomass feedstock logistics supply chain design problem-Reference-Cited by-同舟云学术

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A branch-and-price approach for a biomass feedstock logistics supply chain design problem

Published:2019-05-30 Issue:12 Volume:51 Page:1348-1364
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Aguayo Maichel M.¹,Sarin Subhash C.²,Cundiff John S.³

Affiliation:

1. Industrial Engineering Department, Universidad de Concepción, Concepción, Chile;

2. Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA;

3. Biological Systems Engineering Department, Virginia Tech, Blacksburg, VA, USA

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2019.1589656

Reference38 articles.

1. A corn-stover harvest scheduling problem arising in cellulosic ethanol production

2. The multi-period incremental service facility location problem

3. A mathematical model to design a lignocellulosic biofuel supply chain system with a case study based on a region in Central Texas

4. The multiperiod assignment problem: A multicommodity network flow model and specialized branch and bound algorithm

5. Modelling and optimisation of biomass supply chains: a review

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Integrating bio-hubs in biomass supply chains: Insights from a systematic literature review;Journal of Cleaner Production;2024-08

2. Deep learning enhanced mixed integer optimization: Learning to reduce model dimensionality;Computers & Chemical Engineering;2024-08

3. Supply chain network design with financial considerations: A comprehensive review;European Journal of Operational Research;2024-02

4. Machine Learning-Based Problem Space Reduction in Stochastic Programming Models: An Application in Biofuel Supply Chain Network Design;IEEE Access;2024

5. Robust Design and Planning of a Bioenergy Supply Chain Under Multi-Uncertainty;2024

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