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Exploring the role of picker personality in predicting picking performance with pick by voice, pick to light and RF-terminal picking

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  • Jelle de Vries
  • René de Koster
  • Daan Stam

Abstract

Order pickers and individual differences between them could have a substantial impact on picking performance, but are largely ignored in studies on order picking. This paper explores the role of individual differences in picking performance with various picking tools (pick by voice, RF-terminal picking and pick to light) and methods (parallel, zone and dynamic zone picking). A unique realistic field experiment with 101 participants (academic students, vocational students and professional pickers) is employed to investigate the influence of individual differences, especially the Big Five personality traits, on picking performance in terms of productivity and quality. The results suggest that (PbV) performs better than RF-terminal picking, and that Neuroticism, Extraversion, Conscientiousness and the age of the picker play a significant role in predicting picking performance with voice and RF-terminals. Furthermore, achieving higher productivity appears to be possible without sacrificing quality. Managers can increase picking performance by incorporating the insights in assigning the right pickers to work with a particular picking tool or method, leading to increased picking performance and reduced warehousing costs.

Suggested Citation

  • Jelle de Vries & René de Koster & Daan Stam, 2016. "Exploring the role of picker personality in predicting picking performance with pick by voice, pick to light and RF-terminal picking," International Journal of Production Research, Taylor & Francis Journals, vol. 54(8), pages 2260-2274, April.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:8:p:2260-2274
    DOI: 10.1080/00207543.2015.1064184
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    Cited by:

    1. de Vries, Jelle & de Koster, René & Rijsdijk, Serge & Roy, Debjit, 2017. "Determinants of safe and productive truck driving: Empirical evidence from long-haul cargo transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 113-131.
    2. XiaoLi Zhang & Jelle de Vries & René de Koster & ChenGuang Liu, 2022. "Fast and Faultless? Quantity and Quality Feedback in Order Picking," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1536-1559, April.
    3. Glock, Christoph H. & Grosse, Eric H. & Abedinnia, Hamid & Emde, Simon, 2019. "An integrated model to improve ergonomic and economic performance in order picking by rotating pallets," European Journal of Operational Research, Elsevier, vol. 273(2), pages 516-534.
    4. Sebastjan ŠKERLIČ & Robert MUHA, 2017. "Reducing Errors In The Company’S Warehouse Process," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 12(1), pages 83-92, March.
    5. Giannikas, Vaggelis & Lu, Wenrong & Robertson, Brian & McFarlane, Duncan, 2017. "An interventionist strategy for warehouse order picking: Evidence from two case studies," International Journal of Production Economics, Elsevier, vol. 189(C), pages 63-76.
    6. Grzegorz Tarczyński, 2023. "Linear programming models for optimal workload and batching in pick-and-pass warehousing systems," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(3), pages 141-158.
    7. Balk, B.M. & de Koster, M.B.M. & Kaps, C. & Zofío, J.L., 2017. "An Evaluation of Cross-Efficiency Methods, Applied to Measuring Warehouse Performance," ERIM Report Series Research in Management ERS-2017-015-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Nils Boysen & David Füßler & Konrad Stephan, 2020. "See the light: Optimization of put‐to‐light order picking systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(1), pages 3-20, February.
    9. Al Theeb Nader A. & Al-Araidah Omar & Al-Ali Malik M. & Khudair Adnan I., 2023. "Impact of Human Energy Expenditure on Order Picking Productivity: A Monte Carlo Simulation Study in a Zone Picking System," Engineering Management in Production and Services, Sciendo, vol. 15(4), pages 12-24, December.

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