Designing a sustainable supply chain network integrated with vehicle routing: a comparison of hybrid swarm intelligence metaheuristics
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Publication:2002867
DOI10.1016/j.cor.2018.11.013zbMath1458.90095OpenAlexW2902851216WikidataQ128822041 ScholiaQ128822041MaRDI QIDQ2002867
Kannan Govindan, Vahid Nourbakhsh, Ahmad Jafarian
Publication date: 12 July 2019
Published in: Computers \& Operations Research (Search for Journal in Brave)
Full work available at URL: https://portal.findresearcher.sdu.dk/da/publications/ae109c72-42de-4ac8-b8a2-8fb0a633ecfd
vehicle routing problemmultiple-objective optimizationenvironmental managementcorporate social responsibilityswarm intelligence algorithmssustainable supply chain network
Multi-objective and goal programming (90C29) Transportation, logistics and supply chain management (90B06) Approximation methods and heuristics in mathematical programming (90C59)
Related Items (5)
Supply chain network design with financial considerations: a comprehensive review ⋮ Joint optimisation of drone routing and battery wear for sustainable supply chain development: a mixed-integer programming model based on blockchain-enabled fleet sharing ⋮ Multi-objective optimization of a two-echelon vehicle routing problem with vehicle synchronization and `grey zone' customers arising in urban logistics ⋮ An efficient Lagrangian-based heuristic to solve a multi-objective sustainable supply chain problem ⋮ Maritime location inventory routing problem for island supply chain network under periodic freight demand
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