Abstract

Order picking is a logistics component of warehouse operations where substantial productivity gains are possible. In this study, we investigate implementation processes of collaborative order picking robots (cobots) and focus on the influence of human factors on their implementation in high volume distribution centres. These human factors are: resistance to change; organisational culture; communication on change; and leadership. Four case companies were selected that have experience with testing and introducing several types of cobot and have successfully implemented (at least) one type of cobot over an extended period. In-depth interviews with operational decision-makers led to the identification of 66 critical incidents related to human factors. The results demonstrate the importance of planning the implementation process in phases. Employees are hesitant or resistant to the change due to a lack of information, experience, and communication. The decisive role of the team leader is crucial to implement cobots successfully, and here the individual character traits (e.g., the variance in commitment, character, and motivation) influence the process as well. Although the introduction of cobots is not yet widespread, and the negative impact on the workforce (i.e., concerning job loss) is currently low, one should be aware of the possible future implications when robotisation becomes structurally embedded. Therefore, this article calls for a stronger link between human factors and the future of work, with a specific focus on reskilling and upskilling of logistics professionals in light of robotisation, rather than binary approaches in which robots are primarily seen as a threat to the current workforce.

Highlights

  • Robotisation will increase rapidly in logistics processes

  • Our study focuses on the human supervisory control of robots in their performance of routine tasks, as this fits with the order picking process in high volume distribution centres

  • This study has shown that different human factors influence the cobot implementation processes and lead to recommendations for the successful implementation of cobots in order picking processes

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Summary

Introduction

Robotisation will increase rapidly in (internal) logistics processes. Whether robots and other fully automatic systems are the correct answer to future challenges from a business strategy perspective is debatable. Discussions about the human race, subject to slow change, and computers and robots, evolving at a rapid pace [1], lead to tensions and binary interpretations of one versus the other, which inevitably leads to discussions about the influence of robotisation on the future of work. Our study focuses on collaborative order-picking robots and aims to investigate the impact of human factors on their successful implementation in high-volume distribution centres. The order-picking process is essential to warehouse operations and consists of collecting (order picking) items for a specific order. When the items are collected, the order is prepared and sent to the customer

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