This paper presents a mixed-reality (MR) application called order picking with mixed reality (OP-MR) for the order-picking activities in a smart warehouse. OP-MR is a set of applications operated by an administrator through a computer server and by the staff using the HoloLens MR device. OP-MR is built to reduce the operational time of an order-picking activity by providing the shortest route to the staff. The HoloLens device displays the order-picking instructions through the MR window, renders virtual navigation, and virtually marks the positions of items. For determining the shortest distance for an order picking, the proposed OP-MR method combines two different algorithms, namely the Held–Karp algorithm in the server and A* algorithm in the client. The Held–Karp algorithm sorts the items in the pick-up list based on the nearest position. Next, the A* algorithm determines the shortest route to ensure that a user travels the shortest distance to pick all the items. To show the effectiveness of the proposed OP-MR method, OP-MR is implemented and experiments are performed. The experimental results show that OP-MR outperforms paper-based order-picking from the viewpoint of completing all the order picking.

中文翻译：

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OP-MR：智能仓库中基于混合现实的订单拣选实现

本文介绍了一种混合现实 (MR) 应用程序，称为混合现实订单拣选 (OP-MR)，用于智能仓库中的订单拣选活动。OP-MR 是一组应用程序，由管理员通过计算机服务器操作，工作人员使用 HoloLens MR 设备操作。OP-MR 旨在通过为员工提供最短路线来减少订单拣选活动的操作时间。HoloLens 设备通过 MR 窗口显示拣货指令，呈现虚拟导航，并虚拟标记物品的位置。为了确定订单拣选的最短距离，所提出的 OP-MR 方法结合了两种不同的算法，即服务器中的 Held-Karp 算法和客户端中的 A* 算法。Held–Karp 算法根据最近的位置对提货清单中的项目进行排序。下一个，A* 算法确定最短路线，以确保用户走最短距离来挑选所有物品。为了显示所提出的 OP-MR 方法的有效性，实施了 OP-MR 并进行了实验。实验结果表明，从完成所有订单拣选的角度来看，OP-MR优于基于纸张的订单拣选。