Multi-objective optimization for a combined location-routing-inventory system considering carbon-capped differences

DOI10.3934/JIMO.2021051zbMath1499.65219OpenAlexW3138477861MaRDI QIDQ2673406

Shoufeng Ji, Minghe Sun, Rongjuan Luo, Jinhuan Tang

Publication date: 9 June 2022

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2021051

zbMATH Keywords

carbon emissionsnondominated frontierlocation-routing-inventorycarbon-capped differenceMOPSO heuristic procedure

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Special problems of linear programming (transportation, multi-index, data envelopment analysis, etc.) (90C08)

Related Items (1)

A robust stochastic possibilistic programming model for dynamic supply chain network design with pricing and technology selection decisions

Uses Software

• MOEA/D

Cites Work

• Unnamed Item
• Some issues in measuring and reporting solution quality of interactive multiple objective programming procedures
• Combined location-routing problems: A synthesis and future research directions
• Profit oriented supply chain network optimization
• Improvements and extensions to Miller-Tucker-Zemlin subtour elimination constraints
• Coordinating a dual-channel supply chain with price discount contracts under carbon emission capacity regulation
• Comparison of GA and PSO approaches for the direct and LQR tuning of a multirotor PD controller
• Evolutionary Multi-Criterion Optimization

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