A Multiobjective Optimization Model in Automotive Supply Chain Networks

Abdolhossein Sadrnia, Napsiah Ismail, Norzima Zulkifli, M. K. A. Ariffin, Hossein Nezamabadi-pour and Hamed Mirabi

Mathematical Problems in Engineering, 2013, vol. 2013, 1-10

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:823876

DOI: 10.1155/2013/823876

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