Using fuzzy analytic hierarchy process and particle swarm optimisation for balanced and defective supply chain problems considering WEEE/RoHS directives

DOI10.1080/00207540802702080zbMath1197.90048OpenAlexW1983558827MaRDI QIDQ3163303

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Publication date: 25 October 2010

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540802702080

zbMATH Keywords

fuzzy analytic hierarchy processparticle swarm optimisationgreen supply chaindefective supply chainWEEE/RoHS directives

Mathematics Subject Classification ID

Transportation, logistics and supply chain management (90B06) Fuzzy and other nonstochastic uncertainty mathematical programming (90C70) Inventory, storage, reservoirs (90B05)

Related Items (5)

The optimization of lot sizing with supplier selection problem in multi-echelon defective supply chain network ⋮ Clustering and selecting suppliers based on simulated annealing algorithms ⋮ Quantitative models for sustainable supply chain management: developments and directions ⋮ A hybrid approach for supplier cluster analysis ⋮ A modified Pareto genetic algorithm for multi-objective build-to-order supply chain planning with product assembly

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