Forward-reserve strategy is commonly applied when processing a large number of small orders. This paper considers robotic forward-reserve warehouses, where pick locations are brought to workers by mobile robots in the forward area. We treat the critical problem of unsatisfactory efficiency in the robotic forward area. A picking-replenishment synchronization mechanism (PRSM) is thereby proposed, which optimally attains a balance between replenishment efforts and picking efficiency. The resulting problem is formulated and solved by a tailored variable neighborhood search procedure integrated with a divide-and-conquer paradigm. Numerical results reveal remarkable benefits of PRSM over the conventional random schemes under different scenarios.

在处理大量小订单时，通常会应用前期保留策略。本文考虑了机器人前备仓库，在该仓库中，前进区域中的移动机器人将取货地点带给工人。我们处理机器人前移区域效率不理想的关键问题。因此，提出了一种拣货-补货同步机制（PRSM），可以最佳地在补货力度和拣选效率之间取得平衡。由此产生的问题是通过结合分而治之范式的量身定制的变量邻域搜索过程来解决的。数值结果表明，在不同情况下，PRSM优于常规随机方案。