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- W3180604090 abstract "In today's complicated supply chains, in sustainability, in addition to the importance of reducing costs, both social and environmental perspectives have become more important. This research seeks to provide a sustainable multilevel supply chain model for power plant productions in industrial and manufacturing segmentFor this concern, a mathematical model is proposed with three objectives: maximizing social responsibility, minimizing the emission of environmental pollutants and minimizing costs of the supply chain .Given that sustainable supply chain planning is an Np-Hard concern, we have used meta-heuristic algorithms of WHAL and GENETIC to propose and solve the model.Experimental sample in three groups of small, medium and large were solved by the WHALE optimization algorithm and the results were compared with the results of the GENETIC algorithm according to the index of dispersion, uniformity, quality and solving time.The results showed that, compared to GENETIC algorithm, WHAL is highly more able to achieve better quality and near-optimal solutions in terms of quality, exploration and extraction, and dispersion index.The results of uniformity index and solving time also showed that the GENETIC algorithm needs less time for finding the final solution and is able to search for the answers more uniformly." @default.
- W3180604090 created "2021-07-19" @default.
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- W3180604090 date "2021-06-06" @default.
- W3180604090 modified "2023-09-23" @default.
- W3180604090 title "Mathematical model of sustainable multilevel supply chain with meta-heuristic algorithm approach (Case study: ATMOSPHERE GROUP : Industrial and Manufacturing Power Plant)" @default.
- W3180604090 doi "https://doi.org/10.22105/dmor.2021.270853.1310" @default.
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