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Multi-objective Optimization of Warehouse System Based on the Genetic Algorithm

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Internet and Distributed Computing Systems (IDCS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9864))

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Abstract

As a unit of modern warehouse, the Automated Storage/Retrieval system(AS/RS) plays an important role in modern logistic system. Especially in case of thousands of goods locations, the slotting optimization of warehouse storage system is a crucial step to improve the access efficiency and to reduce the operating costs. With the tiered warehouse as the research subject, this paper firstly analyzed and extracted the key information of related goods location optimization in the warehouse management information system. Then a space optimization model was built, with goods turnover efficiency and stabilities being set as research objectives. By using the MATLAB genetic algorithm toolbox, the multi-objective optimization and simulation of the warehouse system is conducted. Through comparison and analysis of optimization results, the algorithm is finally proved to be applicable.

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Author information

Authors and Affiliations

  1. City College of WUST, Wuhan, China

    Ting Wu, Hao Wang & Zhe Yuan

Authors
  1. Ting Wu
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  2. Hao Wang
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  3. Zhe Yuan
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Corresponding author

Correspondence to Ting Wu .

Editor information

Editors and Affiliations

  1. Wuhan University of Technology , Wuhan, China

    Wenfeng Li

  2. Central Queensland University , North Rockhampton, Queensland, Australia

    Shawkat Ali

  3. Delft University of Technology , Delft, The Netherlands

    Gabriel Lodewijks

  4. University of Calabria , Rende (CS), Italy

    Giancarlo Fortino

  5. University of Reading , Reading, United Kingdom

    Giuseppe Di Fatta

  6. Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

  7. CSIRO ICT , Acton, Australia

    Mukaddim Pathan

  8. ICAR-CNR, Rende (CS), Italy

    Antonio Guerrieri

  9. Wuhan University of Technology , Wuhan, China

    Qiang Wang

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Wu, T., Wang, H., Yuan, Z. (2016). Multi-objective Optimization of Warehouse System Based on the Genetic Algorithm. In: Li, W., et al. Internet and Distributed Computing Systems. IDCS 2016. Lecture Notes in Computer Science(), vol 9864. Springer, Cham. https://doi.org/10.1007/978-3-319-45940-0_18

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  • DOI: https://doi.org/10.1007/978-3-319-45940-0_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45939-4

  • Online ISBN: 978-3-319-45940-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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