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Genetic Algorithm Approach for Multi-Objective Optimization of Closed-Loop Supply Chain Network

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Proceedings of the Institute of Industrial Engineers Asian Conference 2013

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Abstract

This paper applies multi-objective genetic algorithm (MOGA) to solve a closed-loop supply chain network design problem with multi-objective sustainable concerns. First of all, a multi-objective mixed integer programming model capturing the tradeoffs between the total cost and the carbon dioxide (CO2) emission is developed to tackle the multi-stage closed-loop supply chain design problem from both economic and environmental perspectives. The multi-objective optimization problem raised by the model is then solved using MOGA. Finally, some experiments are made to measure the performance.

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering and Enterprise Information, Tunghai University, Taichung, 40704, Taiwan, Republic of China

    Li-Chih Wang & Sheng-Chieh Lin

  2. Department of Information Management, Fu Jen Catholic University, New Taipei, 24205, Taiwan, Republic of China

    Tzu-Li Chen

  3. Department of Industrial Management, National Formosa University, Yunlin County, 632, Taiwan, Republic of China

    Yin-Yann Chen

  4. Department of Electrical Engineering, Tunghai University, Taichung, 40704, Taiwan, Republic of China

    Hsin-Yuan Miao

  5. Tunghai Green Energy Development and Management Institute (TGEI), Tunghai University, Taichung, 40704, Taiwan, Republic of China

    Li-Chih Wang, Hsin-Yuan Miao & Shuo-Tsung Chen

Authors
  1. Li-Chih Wang
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  2. Tzu-Li Chen
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  3. Yin-Yann Chen
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  4. Hsin-Yuan Miao
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  5. Sheng-Chieh Lin
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  6. Shuo-Tsung Chen
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Corresponding author

Correspondence to Li-Chih Wang .

Editor information

Editors and Affiliations

  1. and Technology, Department of Industrial Management, National Taiwan University of Science, Taipei, 10607, Taiwan

    Yi-Kuei Lin

  2. and Technology, Department of Industrial Management, National Taiwan University of Science, Taipei, 10607, Taiwan

    Yu-Chung Tsao

  3. and Technology, Department of Industrial Management, National Taiwan University of Science, Taipei, 10607, Taiwan

    Shi-Woei Lin

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© 2013 Springer Science+Business Media Singapore

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Wang, LC., Chen, TL., Chen, YY., Miao, HY., Lin, SC., Chen, ST. (2013). Genetic Algorithm Approach for Multi-Objective Optimization of Closed-Loop Supply Chain Network. In: Lin, YK., Tsao, YC., Lin, SW. (eds) Proceedings of the Institute of Industrial Engineers Asian Conference 2013. Springer, Singapore. https://doi.org/10.1007/978-981-4451-98-7_18

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  • DOI: https://doi.org/10.1007/978-981-4451-98-7_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-4451-97-0

  • Online ISBN: 978-981-4451-98-7

  • eBook Packages: EngineeringEngineering (R0)

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