Journal of the Semiconductor & Display Technology (반도체디스플레이기술학회지)

The Korean Society Of Semiconductor & Display Technology (한국반도체디스플레이기술학회)
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Muti-Order Processing System for Smart Warehouse Using Mutant Ant Colony Optimization

돌연변이 개미 군집화 알고리즘을 이용한 스마트 물류 창고의 다중 주문 처리 시스템

  • Chang Hyun Kim (Department of Saemaul Studies and International Development, Yeungnam University) ;
  • Yeojin Kim (Department of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Geuntae Kim (Department of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Jonghwan Lee (Department of Industrial Engineering, Kumoh National Institute of Technology)
  • 김창현 (영남대학교 새마을국제개발학과) ;
  • 김근태 (금오공과대학교 산업공학과) ;
  • 김여진 (금오공과대학교 산업공학과) ;
  • 이종환 (금오공과대학교 산업공학과)
  • Received : 2023.07.31
  • Accepted : 2023.09.11
  • Published : 2023.09.30
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Abstract

Recently, in the problem of multi-order processing in logistics warehouses, multi-pickup systems are changing from the form in which workers walk around the warehouse to the form in which goods come to workers. These changes are shortening the time to process multiple orders and increasing production. This study considered the sequence problem of which warehouse the items to be loaded on each truck come first and which items to be loaded first when loading multiple pallet-unit goods on multiple trucks in an industrial smart logistics automation warehouse. To solve this problem efficiently, we use the mutant algorithm, which combines the GA algorithm and ACO algorithm, and compare with original system.

Keywords

Acknowledgement

This paper was supported by Kumoh National Institute of Technology.

References

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