PurposeThis paper identifies, configures and analyses a solution aimed at increasing the efficiency of in-store picking for e-grocers and combining the traditional store-based option with a warehouse-based logic (creating a back area dedicated to the most required online items).Design/methodology/approachThe adopted methodology is a multi-method approach combining analytical modelling and interviews with practitioners. Interviews were performed with managers, whose collaboration allowed the development and application of an empirically-grounded model, aimed to estimate the performances of the proposed picking solution in its different configurations. Various scenarios are modelled and different policies are evaluated.FindingsThe proposed solution entails time benefits compared to traditional store-based picking for three main reasons: lower travel time (due to the absence of offline customers), lower retrieval time (tied to the more efficient product allocation in the back) and lower time to manage stock-outs (since there are no missing items in the back). Considering the batching policies, order picking is always outperformed by batch and zone picking, as they allow for the reduction of the average travelled distance per order. Conversely, zone picking is more efficient than batch picking when demand volumes are high.Originality/valueFrom an academic perspective, this work proposes a picking solution that combines the store-based and warehouse-based logics (traditionally seen as opposite/alternative choices). From a managerial perspective, it may support the definition of the picking process for traditional grocers that are offering – or aim to offer – e-commerce services to their customers.

中文翻译：

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加强电子杂货店内拣货：基于经验的模型

目的本文确定、配置和分析了一种解决方案，旨在提高电子杂货商的店内拣货效率，并将传统的基于商店的选项与基于仓库的逻辑相结合（创建专门用于最需要的在线商品的后台区域） .Design/methodology/approach所采用的方法是一种结合分析建模和与从业者访谈的多方法方法。与管理人员进行了访谈，他们的合作允许开发和应用基于经验的模型，旨在估计所提出的拣选解决方案在不同配置下的性能。对各种场景进行建模并评估不同的策略。发现与传统的基于商店的拣货相比，所提出的解决方案具有时间优势，主要有以下三个原因：更少的旅行时间（由于没有线下客户），更短的检索时间（与更有效的产品分配在后面）和更少的缺货管理时间（因为后面没有丢失的物品）。考虑到批处理策略，订单拣货总是优于批次拣货和区域拣货，因为它们可以减少每个订单的平均行驶距离。相反，当需求量大时，区域拣货比批量拣货效率更高。原创性/价值从学术角度来看，这项工作提出了一种结合基于商店和基于仓库的逻辑（传统上被视为相反/替代选择）的拣货解决方案。从管理的角度来看，