This paper focuses on the mathematical analysis of order flow times in parts-to-picker warehouses with remotely located order-picking workstations. To this end, a polling system with a new type of arrival process and service discipline is introduced as a model for an order-picking workstation. Stochastic bounds are deduced for the cycle time, which corresponds to the order flow time. These bounds are shown to be adequate and aid in setting targets for the throughput of the storage area. The paper thus complements existing literature, which mainly focuses on optimizing the operations in the storage area.
Keywords: warehousing, order-picking workstation, order flow time, polling system, cycle time, stochastic bounds
|Place of Publication||Eindhoven|
|Number of pages||23|
|Publication status||Published - 2015|