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A Multiobjective Optimization Model in Automotive Supply Chain Networks

Author

Listed:
  • Abdolhossein Sadrnia
  • Napsiah Ismail
  • Norzima Zulkifli
  • M. K. A. Ariffin
  • Hossein Nezamabadi-pour
  • Hamed Mirabi

Abstract

In the new decade, green investment decisions are attracting more interest in design supply chains due to the hidden economic benefits and environmental legislative barriers. In this paper, a supply chain network design problem with both economic and environmental concerns is presented. Therefore, a multiobjective optimization model that captures the trade-off between the total logistics cost and CO 2 emissions is proposed. With regard to the complexity of logistic networks, a new multiobjective swarm intelligence algorithm known as a multiobjective Gravitational search algorithm (MOGSA) has been implemented for solving the proposed mathematical model. To evaluate the effectiveness of the model, a comprehensive set of numerical experiments is explained. The results obtained show that the proposed model can be applied as an effective tool in strategic planning for optimizing cost and CO 2 emissions in an environmentally friendly automotive supply chain.

Suggested Citation

  • Abdolhossein Sadrnia & Napsiah Ismail & Norzima Zulkifli & M. K. A. Ariffin & Hossein Nezamabadi-pour & Hamed Mirabi, 2013. "A Multiobjective Optimization Model in Automotive Supply Chain Networks," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-10, September.
    • Handle: RePEc:hin:jnlmpe:823876
    DOI: 10.1155/2013/823876
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    Cited by:

    1. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.

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