Automated vehicle storage and retrieval systems (AVSRS) allow for a flexible and powerful way to supply picking or manufacturing areas based on the goods-to-person principle. AVSRS with tier- and aisle-captive vehicles achieve the highest throughput capacity which can be further increased by deploying more than one vehicle on each tier of an aisle. With these high-powered AVSRS, it is possible to compensate for the reduction of throughput capacity in multi-deep storage systems where relocation operations occur frequently and result in more transportation tasks. In this work, we present and compare different algorithms for efficiently accomplishing relocation operations in high-powered AVSRS. We conduct a series of simulation experiments to analyze the performance of these algorithms and evaluate the application of high-powered AVSRS in multi-deep storage.


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    Titel :

    Operating High-Powered Automated Vehicle Storage and Retrieval Systems in Multi-deep Storage


    Beteiligte:
    Zhang, Juliang (Herausgeber:in) / Dresner, Martin (Herausgeber:in) / Zhang, Runtong (Herausgeber:in) / Hua, Guowei (Herausgeber:in) / Shang, Xiaopu (Herausgeber:in) / Habl, Andreas (Autor:in) / Plapp, Valentin (Autor:in) / Fottner, Johannes (Autor:in)

    Erschienen in:

    LISS2019 ; Kapitel : 52 ; 715-727


    Erscheinungsdatum :

    10.07.2020


    Format / Umfang :

    13 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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