Sustainable agriculture supply chain network design considering water-energy-food nexus using queuing system: a hybrid robust possibilistic programming
DOI10.1111/NRM.12337zbMATH Open1545.91194WikidataQ111825412 ScholiaQ111825412MaRDI QIDQ6578339
Komeyl Baghizadeh, Kannan Govindan, Mahboubeh Ziyarati, Naoufel Cheikhrouhou
Publication date: 25 July 2024
Published in: Natural Resource Modeling (Search for Journal in Brave)
multiobjective optimizationqueuing systemsupply chain network designagriculture and foodhybrid robust possibilistic programmingwater-food-energy nexus
Mixed integer programming (90C11) Multi-objective and goal programming (90C29) Nonlinear programming (90C30) Environmental economics (natural resource models, harvesting, pollution, etc.) (91B76)
Cites Work
- Title not available (Why is that?)
- Supplier selection in the processed food industry under uncertainty
- Effective implementation of the \(\varepsilon \)-constraint method in multi-objective mathematical programming problems
- The Lagrangian Relaxation Method for Solving Integer Programming Problems
- Health service network design: a robust possibilistic approach
- Applications of location analysis in agriculture: a survey
- Optimal transport to cold chain in perishable hand-picked agriculture
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