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Optimal design of a 3D compact storage system with the I/O port at the lower mid-point of the storage rack

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  • Jingjing Hao
  • Yugang Yu
  • Linda L. Zhang

Abstract

As a new generation of automated warehousing systems, 3D compact storage systems have been increasingly installed worldwide for handling inventory items in warehouses, distribution centres and manufacturing factories. Due to the problem complexity and system novelty, research investigating these systems, design models in particular, lags behind. This study, thus, addresses the design of 3D compact storage systems, where the I/O port is located at the lower mid-point of the storage rack, in attempting to assist practitioners in designing such systems that can achieve optimal performance while meeting system capacity requirements. In view of its importance in system design, we first derive the system expected travel time and subsequently optimise the three dimensions of the storage rack. We consider all the possible configurations of the three rack dimensions and develop closed form expressions for travel time derivation and rack dimension optimisation. We compare the result with an available design model, where the I/O port is located in the lower left-corner of the storage rack. The comparison shows that our model produces shorter system expected travel time, thus higher system throughput. We also elaborate several numerical examples to demonstrate how our model can be applied to design 3D compact storage systems in practice. Based on the numerical examples, we further provide several managerial implications, which are useful for practitioners to make suitable design decisions.

Suggested Citation

  • Jingjing Hao & Yugang Yu & Linda L. Zhang, 2015. "Optimal design of a 3D compact storage system with the I/O port at the lower mid-point of the storage rack," International Journal of Production Research, Taylor & Francis Journals, vol. 53(17), pages 5153-5173, September.
  • Handle: RePEc:taf:tprsxx:v:53:y:2015:i:17:p:5153-5173
    DOI: 10.1080/00207543.2015.1005767
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    Cited by:

    1. Zou, B. & de Koster, M.B.M. & Xu, X., 2016. "Evaluating dedicated and shared storage policies in robot-based compact storage and retrieval systems," ERIM Report Series Research in Management ERS-2016-010-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Yang, Jingjing & de Koster, René B.M. & Guo, Xiaolong & Yu, Yugang, 2023. "Scheduling shuttles in deep-lane shuttle-based storage systems," European Journal of Operational Research, Elsevier, vol. 308(2), pages 696-708.
    3. Azadeh, K. & de Koster, M.B.M. & Roy, D., 2017. "Robotized Warehouse Systems: Developments and Research Opportunities," ERIM Report Series Research in Management ERS-2017-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Bipan Zou & René De Koster & Xianhao Xu, 2018. "Operating Policies in Robotic Compact Storage and Retrieval Systems," Transportation Science, INFORMS, vol. 52(4), pages 788-811, August.
    5. Mohammed Alnahhal & Bashir Salah & Rafiq Ahmad, 2022. "Increasing Throughput in Warehouses: The Effect of Storage Reallocation and the Location of Input/Output Station," Sustainability, MDPI, vol. 14(8), pages 1-16, April.
    6. Kaveh Azadeh & René De Koster & Debjit Roy, 2019. "Robotized and Automated Warehouse Systems: Review and Recent Developments," Transportation Science, INFORMS, vol. 53(4), pages 917-945, July.

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