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Analytical models for an automated storage and retrieval system with multiple in-the-aisle pick positions

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  • Faraz Ramtin
  • Jennifer A. Pazour

Abstract

An automated storage and retrieval system with multiple in-the-aisle pick positions (MIAPP-AS/RS) is a case-level order fulfillment technology that enables order picking via multiple pick positions (outputs) located in the aisle. This article develops expected travel time models for different operating policies and different physical configurations. These models can be used to analyze MIAPP-AS/RS throughput performance during peak and non-peak hours. Moreover, closed-form approximations are derived for the case of an infinite number of pick positions, which enable the optimal shape configuration that minimizes expected travel times to be derived. The expected travel time models are compared with a simulation model of a discrete rack, and the results validate that the proposed models provide good estimates. Finally, a numerical experiment is conducted to illustrate the trade-offs between performance of operating policies and design configurations. It is found that MIAPP-AS/RS with a dual picking floor and input point is a robust configuration due to the single command operating policy having a comparable throughput performance to a dual-command operating policy.

Suggested Citation

  • Faraz Ramtin & Jennifer A. Pazour, 2014. "Analytical models for an automated storage and retrieval system with multiple in-the-aisle pick positions," IISE Transactions, Taylor & Francis Journals, vol. 46(9), pages 968-986, September.
    • Handle: RePEc:taf:uiiexx:v:46:y:2014:i:9:p:968-986
    DOI: 10.1080/0740817X.2014.882037
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    Citations

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    Cited by:

    1. Xianhao Xu & Bipan Zou & Guwen Shen & Yeming (Yale) Gong, 2016. "Travel-time models and fill-grade factor analysis for double-deep multi-aisle AS/RSs," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4126-4144, July.
    2. Jamal Ahmed Hama Kareem & Blesa Ibrahim Mohammed & Sameer Abduljabbar Abdulwahab, 2022. "Optimal Materials Handling Equipment and Defective Product Reduction Skills in Enhance Overall Production Efficiency," SAGE Open, , vol. 12(4), pages 21582440221, October.
    3. Shahab Derhami & Jeffrey S. Smith & Kevin R. Gue, 2017. "Optimising space utilisation in block stacking warehouses," International Journal of Production Research, Taylor & Francis Journals, vol. 55(21), pages 6436-6452, November.
    4. AERTS, Babiche & CORNELISSENS, Trijntje & SÖRENSEN, Kenneth, 2018. "The influence of e-commerce on the design of warehouses - a literature review," Working Papers 2018013, University of Antwerp, Faculty of Business and Economics.
    5. Gharehgozli, Amir & Xu, Chao & Zhang, Wenda, 2021. "High multiplicity asymmetric traveling salesman problem with feedback vertex set and its application to storage/retrieval system," European Journal of Operational Research, Elsevier, vol. 289(2), pages 495-507.
    6. 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.
    7. Boysen, Nils & de Koster, René & Füßler, David, 2021. "The forgotten sons: Warehousing systems for brick-and-mortar retail chains," European Journal of Operational Research, Elsevier, vol. 288(2), pages 361-381.
    8. 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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