Indian Journal of Science and Technology

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Impact of Closed–Loop Supply Chains on Reducing Carbon Emission and Gaining Competitive Advantage: NSGA-II and MOPSO Solutions


Affiliations
1 Department of Industrial Engineering, Bandar E Anzali International Branch, Islamic Azad University, Bandar E Anzali, Iran, Islamic Republic of
2 Department of Industrial Engineering, Bandar E Anzali International branch, Islamic Azad University, Bandar E Anzali, Iran, Iran, Islamic Republic of
3 Department of Business Management, Rasht branch, Islamic Azad University, Rasht, Iran, Islamic Republic of
 

The purpose of this paper is presenting a mathematical model of the closed-loop supply chain network design dynamic positioning facility, through a strategic review of Multi-period planning horizon in order to minimize the environmental impact and the gain the competitive advantage based on of Porter’s view. A new multi-objective mixed integer programming model for locating facilities and simultaneous designing of forward and reverse network is developed in order to determine the strategic long-term comprehensive solutions that maximize the Net Present Value (NPV) of cash flow for the entire supply chain and to minimize emissions of greenhouse gases products suppliers. The proposed algorithm parameters Multiple Objective Particle Swarm Optimization (MOPSO) and non-dominated sorting genetic algorithm version 2 (NSGA-II) are adjusted using the Taguchi method. Numerical results show that the new model with the above-mentioned meta-heuristic algorithms can be used obtain quantitative aspects of strategic planning in terms of closed-loop supply chain.

Keywords

Competitive Advantage, Carbon Emission, Closed-Loop Supply Chain, Multi-Objective Mixed Integer Programming, Net Present Value (NPV)
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  • Impact of Closed–Loop Supply Chains on Reducing Carbon Emission and Gaining Competitive Advantage: NSGA-II and MOPSO Solutions

Abstract Views: 175  |  PDF Views: 0

Authors

Azra Ghobadi
Department of Industrial Engineering, Bandar E Anzali International Branch, Islamic Azad University, Bandar E Anzali, Iran, Islamic Republic of
Soroush Avakh Darestani
Department of Industrial Engineering, Bandar E Anzali International branch, Islamic Azad University, Bandar E Anzali, Iran, Iran, Islamic Republic of
Kambiz Shahroudi
Department of Business Management, Rasht branch, Islamic Azad University, Rasht, Iran, Islamic Republic of

Abstract


The purpose of this paper is presenting a mathematical model of the closed-loop supply chain network design dynamic positioning facility, through a strategic review of Multi-period planning horizon in order to minimize the environmental impact and the gain the competitive advantage based on of Porter’s view. A new multi-objective mixed integer programming model for locating facilities and simultaneous designing of forward and reverse network is developed in order to determine the strategic long-term comprehensive solutions that maximize the Net Present Value (NPV) of cash flow for the entire supply chain and to minimize emissions of greenhouse gases products suppliers. The proposed algorithm parameters Multiple Objective Particle Swarm Optimization (MOPSO) and non-dominated sorting genetic algorithm version 2 (NSGA-II) are adjusted using the Taguchi method. Numerical results show that the new model with the above-mentioned meta-heuristic algorithms can be used obtain quantitative aspects of strategic planning in terms of closed-loop supply chain.

Keywords


Competitive Advantage, Carbon Emission, Closed-Loop Supply Chain, Multi-Objective Mixed Integer Programming, Net Present Value (NPV)



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i35%2F124903