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Warehouse Storage Assignment by Genetic Algorithm with Multi-objectives

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Intelligent Human Systems Integration 2019 (IHSI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 903))

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Abstract

The proper assignment of storages to stocks prior to their picking is critical to reduce order picking costs. Appropriate storage assignments can also shorten storing time, improve storage utilization, and facilitate inventory management. Three objectives are considered: minimizing the routing length of storing stocks, maximizing the future chance of adjacent stocks to be picked together, and minimizing the storage distance to the access point for popular stocks. This study devises a genetic algorithm to find feasible solutions and uses a method to determine the final storage assignment from a set of Pareto solutions.

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Author information

Authors and Affiliations

  1. Department of Information Management, Tamkang University, New Taipei City, Taiwan

    Chi-Bin Cheng & Yu-Chi Weng

Authors
  1. Chi-Bin Cheng
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  2. Yu-Chi Weng
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Corresponding author

Correspondence to Chi-Bin Cheng .

Editor information

Editors and Affiliations

  1. University of Central Florida, Orlando, FL, USA

    Waldemar Karwowski

  2. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, FL, USA

    Tareq Ahram

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Cheng, CB., Weng, YC. (2019). Warehouse Storage Assignment by Genetic Algorithm with Multi-objectives. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_46

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