Robot picker solution in order picking systems: an ergo-zoning approach

被引：12

作者：

Sgarbossa, Fabio ^{[1
]}

Romsdal, Anita ^{[1
]}

Johannson, Finn H. ^{[1
]}

Krogen, Torbjorn ^{[2
]}

机构：

[1] Norwegian Univ Sci & Technol, Trondheim, Norway

[2] Currence Robot, Alesund, Norway

来源：

IFAC PAPERSONLINE | 2020年 / 53卷 / 02期

关键词：

Order picking; Robot; Warehousing; Ergonomics; Zoning; STORAGE ASSIGNMENT; FRAMEWORK; QUALITY;

D O I：

10.1016/j.ifacol.2020.12.2813

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Manual order picking is the most labour-intensive activity in warehouses. As an alternative, robot pickers that can work alongside manual order pickers have emerged. This paper presents such a robot picker and develops a method for assigning products to two warehouse zones; one for robot pickers and one for human pickers. A Non-dominated Sorting Genetic Algorithm II (NSGA-II) was used to develop the zoning method, minimizing human workload and maximizing the similarity of product categories in each zone. The method was verified in a case study. Copyright (C) 2020 The Authors.

引用

页码：10597 / 10602

页数：6

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