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Joint Optimization of Production and Ship** for Small Orders Considering Less-Than-Container Loading

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Proceedings of 4th International Conference on Resources and Environmental Research—ICRER 2022 (ICRER 2022)

Part of the book series: Environmental Science and Engineering ((ESE))

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Abstract

This paper introduces a joint optimization problem of production and ship** for overseas small orders considering less-than-container loading (LCL) in manufacturing enterprises. The problem consists of finding a production schedule together with a LCL ship** scheme simultaneously to minimize the total cost. An integer programming model is developed, and the genetic algorithm of enhanced elite reservation (SEGA) is used to solve large-sized instances. Besides, the performance of SEGA is compared with the classical genetic algorithm (SGA) and stallion genetic algorithm (stud GA). It is statistically shown that SEGA outperforms other algorithms in finding near-optimal solutions.

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Acknowledgements

This work is supported by ‘the National Key Research and Development Program of China’ (2019YFE0110300).’

Author information

Authors and Affiliations

  1. School of Management, Hefei University of Technology, Hefei, China

    Ya**g Tian, Guoqiang Wang, Yingying Chen & He Luo

  2. Key Laboratory of Process Optimization & Intelligent Decision-Making, Ministry of Education, Hefei, China

    Ya**g Tian, Guoqiang Wang, Yingying Chen & He Luo

Authors
  1. Ya**g Tian
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  2. Guoqiang Wang
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  3. Yingying Chen
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  4. He Luo
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Corresponding author

Correspondence to He Luo .

Editor information

Editors and Affiliations

  1. School of Agriculture, Sun Yat-sen University, Shenzhen, China

    Chaolei Yuan

  2. College of Environmental Science and Engineering, Nankai University, Tian**, China

    Suiliang Huang

  3. College of Environmental Science and Engineering, Nankai University, Tian**, China

    **%20for%20Small%20Orders%20Considering%20Less-Than-Container%20Loading&author=Ya**g%20Tian%2C%20Guoqiang%20Wang%2C%20Yingying%20Chen%20et%20al&contentID=10.1007%2F978-3-031-31808-5_18&copyright=The%20Author%28s%29%2C%20under%20exclusive%20license%20to%20Springer%20Nature%20Switzerland%20AG&publication=eBook&publicationDate=2023&startPage=227&endPage=239&imprint=The%20Author%28s%29%2C%20under%20exclusive%20license%20to%20Springer%20Nature%20Switzerland%20AG">Reprints and permissions

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© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Tian, Y., Wang, G., Chen, Y., Luo, H. (2023). Joint Optimization of Production and Ship** for Small Orders Considering Less-Than-Container Loading. In: Yuan, C., Huang, S., Wang, X., Chen, Z. (eds) Proceedings of 4th International Conference on Resources and Environmental Research—ICRER 2022. ICRER 2022. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-31808-5_18

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