A hybrid system dynamics and two-stage mixed integer stochastic programming approach for closed-loop battery supply chain optimization

DOI10.1016/J.APM.2022.02.009zbMath1503.90012OpenAlexW4213342505MaRDI QIDQ2109492

Elham Kamyabi, Hashem Moazzez, Ali Husseinzadeh Kashan

Publication date: 21 December 2022

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2022.02.009

zbMATH Keywords

mathematical programmingrecyclingsystem dynamicsclosed-loop supply chainlead-acid battery

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Mixed integer programming (90C11) Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06)

Cites Work

• Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition
• A system dynamics model for dynamic capacity planning of remanufacturing in closed-loop supply chains
• A genetic algorithm approach for solving a closed loop supply chain model: a case of battery recycling
• Closed-loop supply chain network design: a financial approach
• The effect of environmental parameters on product recovery
• System dynamics modelling of remanufacturing and recycling mode based on closed-loop across-chain competition

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