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Optimal stock picking decisions in automatic storage and retrieval systems

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  • Kanet, John J
  • Ramirez, Richard Gonzalo

Abstract

Recent technological developments have brought on a revolution in the design and operation of warehousing systems. Automatic storage/retrieval systems (AS/RS) driven by embedded computers are becoming increasingly more prevalent. The increased use of AS/RS is creating the need for computerized control algorithms to support the scheduling and logistical decisions in such automated warehouses. In this research we explore the problem of deciding which storage locations to retrieve when confronted with a set of discrete orders for a given inventory item. In addition to the normal costs associated with the retrieval decision, this support introduces the cost of a location "breakdown" as a complicating factor in the retrieval decision. The problem is formulated as a type of mixed zero-one integer program. Computational results from a sample set of problems are reported.

Suggested Citation

  • Kanet, John J & Ramirez, Richard Gonzalo, 1986. "Optimal stock picking decisions in automatic storage and retrieval systems," Omega, Elsevier, vol. 14(3), pages 239-244.
    • Handle: RePEc:eee:jomega:v:14:y:1986:i:3:p:239-244
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    Cited by:

    1. Boysen, Nils & Stephan, Konrad, 2016. "A survey on single crane scheduling in automated storage/retrieval systems," European Journal of Operational Research, Elsevier, vol. 254(3), pages 691-704.
    2. Wang, Ning & Jin, Bo & Lim, Andrew, 2015. "Target-guided algorithms for the container pre-marshalling problem," Omega, Elsevier, vol. 53(C), pages 67-77.
    3. Sarker, Bhaba R. & Babu, P. Sobhan, 1995. "Travel time models in automated storage/retrieval systems: A critical review," International Journal of Production Economics, Elsevier, vol. 40(2-3), pages 173-184, August.
    4. Rouwenhorst, B. & Reuter, B. & Stockrahm, V. & van Houtum, G. J. & Mantel, R. J. & Zijm, W. H. M., 2000. "Warehouse design and control: Framework and literature review," European Journal of Operational Research, Elsevier, vol. 122(3), pages 515-533, May.
    5. Muppani (Muppant), Venkata Reddy & Adil, Gajendra Kumar, 2008. "Efficient formation of storage classes for warehouse storage location assignment: A simulated annealing approach," Omega, Elsevier, vol. 36(4), pages 609-618, August.
    6. Roodbergen, Kees Jan & Vis, Iris F.A., 2009. "A survey of literature on automated storage and retrieval systems," European Journal of Operational Research, Elsevier, vol. 194(2), pages 343-362, April.

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