Highlights ► We present a new methodology to analyze order fulfillment processes in a warehouse. ► We use discrete time queues to calculate the order throughput time distribution. ► The models provide a fast way to predict the percentage of successfully filled orders. ► Input parameters can be easily derived by empirical data. ► Batch sizes optimizing service level are different than those optimizing throughput.

    Abstract We develop discrete time models for the throughput time distribution of orders arriving to a one-block warehouse. The models accommodate single- or multi-line orders, and we show how to use them to determine the optimal batch size, given a desired probability of on-time order fulfillment. Experiments suggest that the optimal batch size is slightly higher than one would choose if minimizing average throughput time.


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    Titel :

    Throughput time distribution analysis for a one-block warehouse


    Beteiligte:
    Schleyer, Marc (Autor:in) / Gue, Kevin (Autor:in)


    Erscheinungsdatum :

    2011-09-25


    Format / Umfang :

    15 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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