A multilayer model predictive control methodology applied to a biomass supply chain operational level

DOI10.1155/2017/5402896zbMath1373.93241OpenAlexW2735947789WikidataQ59142915 ScholiaQ59142915MaRDI QIDQ1674907

José Boaventura-Cunha, A. Paulo Moreira, João Paulo Coelho, Germano Veiga, Tatiana M. Pinho

Publication date: 26 October 2017

Published in: Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/5402896

zbMATH Keywords

online schedulingsupply chain performancebiomass supply chainenergetic marketmultilayer model predictive control

Mathematics Subject Classification ID

Application models in control theory (93C95) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)

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Cites Work

• A generic mathematical model to optimise strategic and tactical decisions in biomass-based supply chains (OPTIMASS)
• Supply chain modelling of forest fuel
• The strategic decision-making as a complex adaptive system: a conceptual scientific model
• Mixed integer programming formulations for the biomass truck scheduling problem