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Human Factors Influencing the Implementation of Cobots in High Volume Distribution Centres

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  • Wim Lambrechts

    (Department of Marketing & Supply Chain Management, Faculty of Management, Open Universiteit, PB 2960 Heerlen, The Netherlands)

  • Jessica S. Klaver

    (Department of Marketing & Supply Chain Management, Faculty of Management, Open Universiteit, PB 2960 Heerlen, The Netherlands)

  • Lennart Koudijzer

    (Department of Marketing & Supply Chain Management, Faculty of Management, Open Universiteit, PB 2960 Heerlen, The Netherlands)

  • Janjaap Semeijn

    (Department of Marketing & Supply Chain Management, Faculty of Management, Open Universiteit, PB 2960 Heerlen, The Netherlands)

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.

Suggested Citation

  • Wim Lambrechts & Jessica S. Klaver & Lennart Koudijzer & Janjaap Semeijn, 2021. "Human Factors Influencing the Implementation of Cobots in High Volume Distribution Centres," Logistics, MDPI, vol. 5(2), pages 1-24, May.
    • Handle: RePEc:gam:jlogis:v:5:y:2021:i:2:p:32-:d:566023
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    References listed on IDEAS

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    1. de Koster, Rene & Le-Duc, Tho & Roodbergen, Kees Jan, 2007. "Design and control of warehouse order picking: A literature review," European Journal of Operational Research, Elsevier, vol. 182(2), pages 481-501, October.
    2. Tim Kasser & Kennon Sheldon, 2009. "Time Affluence as a Path toward Personal Happiness and Ethical Business Practice: Empirical Evidence from Four Studies," Journal of Business Ethics, Springer, vol. 84(2), pages 243-255, January.
    3. Elli Verhulst & Casper Boks, 2012. "The role of human factors in the adoption of sustainable design criteria in business: evidence from Belgian and Dutch case studies," International Journal of Innovation and Sustainable Development, Inderscience Enterprises Ltd, vol. 6(2), pages 146-163.
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    Cited by:

    1. Mateusz Paliga, 2023. "The Relationships of Human-Cobot Interaction Fluency with Job Performance and Job Satisfaction among Cobot Operators—The Moderating Role of Workload," IJERPH, MDPI, vol. 20(6), pages 1-19, March.
    2. Federico Fraboni & Hannah Brendel & Luca Pietrantoni, 2023. "Evaluating Organizational Guidelines for Enhancing Psychological Well-Being, Safety, and Performance in Technology Integration," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    3. Benjamin Nitsche, 2021. "Exploring the Potentials of Automation in Logistics and Supply Chain Management: Paving the Way for Autonomous Supply Chains," Logistics, MDPI, vol. 5(3), pages 1-9, August.

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