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Design of a Closed Supply Chain Under Uncertainty with Regards to Social and Environmental Impacts

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Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020) (SoCPaR 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1383))

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Abstract

In recent years, the decrease of resources and the increase of environmental concerns regarding the burial of industrial waste have led to developing the integrated green supply chain. In this study a multi-objective, multi-echelon, and multi-product closed-loop supply chain system is formulated in a way that considers the total profit, social responsibility, and environmental impacts. To overcome the innate uncertainty in some parameters such as transportation cost, operational costs, and customer demand, a robust counterpart based on the Bental-Nimrovski approach is developed. Finally, the performance of the deterministic and robust models evaluated by implementing the different experiments. The result shows the superiority of the deterministic model based on the mean of all objective functions and the robust model’s superiority based on standard deviations.

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Author information

Authors and Affiliations

  1. Department of Economy, Kharazmi University, Tehran, Iran

    Omid Abdolazimi

  2. Department of Civil Engineering, University of Memphis, Memphis, TN, USA

    Mitra Salehi Esfandarani

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research (MIR) Labs, Washington, USA

    Ajith Abraham

Authors
  1. Omid Abdolazimi
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  2. Mitra Salehi Esfandarani
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  3. Ajith Abraham
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Corresponding author

Correspondence to Ajith Abraham .

Editor information

Editors and Affiliations

  1. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

  2. Systems Innovation, School of Engineering, The University of Tokyo, Bunkyo-ku, Tokyo, Japan

    Yukio Ohsawa

  3. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Niketa Gandhi

  4. Vardhaman College of Engineering, Hyderabad, Telangana, India

    M.A. Jabbar

  5. Faculty of Sciences and Techniques, Hassan 1st University, Settat, Morocco

    Abdelkrim Haqiq

  6. Queen’s University, Belfast, UK

    Seán McLoone

  7. Northumbria University, Newcastle, UK

    Biju Issac

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Abdolazimi, O., Esfandarani, M.S., Abraham, A. (2021). Design of a Closed Supply Chain Under Uncertainty with Regards to Social and Environmental Impacts. In: Abraham, A., et al. Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020). SoCPaR 2020. Advances in Intelligent Systems and Computing, vol 1383. Springer, Cham. https://doi.org/10.1007/978-3-030-73689-7_46

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