5,863
Views
12
CrossRef citations to date
0
Altmetric
Special Issue: Human-centric production and logistics system design and management: Transitioning from Industry 4.0 to Industry 5.0
Guest Editors: Eric H. Grosse, Fabio Sgarbossa, Cecilia Berlin and W. Patrick Neumann

Assessing the impact of human–robot collaborative order picking systems on warehouse workers

ORCID Icon, ORCID Icon & ORCID Icon
Pages 7776-7790 | Received 24 Mar 2022, Accepted 10 Feb 2023, Published online: 02 Mar 2023

References

  • 6 River Systems. (2019). Meet Chuck. 6 River Systems. https://6river.com/meet-chuck/
  • Azadeh, K., R. De Koster, and D. Roy. 2019. “Robotized and Automated Warehouse Systems: Review and Recent Developments.” Transportation Science 53 (4): 917–945. doi:10.1287/trsc.2018.0873.
  • Azadeh, K., D. Roy, and M. B. M. De Koster. 2020. Dynamic Human-Robot Collaborative Picking Strategies. Available at SSRN 3585396.
  • Bandura, A. 1986. “The Explanatory and Predictive Scope of Self-Efficacy Theory.” Journal of Social and Clinical Psychology 4 (3): 359–373. doi:10.1521/jscp.1986.4.3.359.
  • Bates, D., M. Mächler, B. Bolker, and S. Walker. 2015. “Fitting Linear Mixed-Effects Models Using lme4.” Journal of Statistical Software 67 (1): 1–48. doi:10.18637/jss.v067.i01.
  • Ben-Ari, M., and F. Mondada. 2018. “Elements of Robotics (Robots and Their Applications).” Elements of Robotics 1–20. doi:10.1007/978-3-319-62533-1.
  • Bruemmer, D. J., D. A. Few, R. L. Boring, J. L. Marble, M. C. Walton, and C. W. Nielsen. 2005. “Shared Understanding for Collaborative Control.” IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans 35 (4): 494–504. doi:10.1109/TSMCA.2005.850599
  • Chen, K., J. V. Chen, and D. C. Yen. 2011. “Dimensions of Self-Efficacy in the Study of Smart Phone Acceptance.” Computer Standards and Interfaces 33 (4): 422–431. doi:10.1016/j.csi.2011.01.003.
  • Compeau, D., and C. Higgins. 1995. “Computer Self-Efficacy: Development of a Measure and Initial Test.” MIS Quarterly: Management Information Systems 19 (2): 189–210. doi:10.2307/249688.
  • Compeau, D., C. A. Higgins, and S. Huff. 1999. “Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study.” MIS Quarterly: Management Information Systems 23 (2): 145–158. doi:10.2307/249749.
  • Cranny, C. J., P. C. Smith, and E. Stone. 1992. Job Satisfaction How People Feel About their Jobs.
  • Davis, F. D. 1989. “Perceived Usefulness, Perceived Ease of use, and User Acceptance of Information Technology.” MIS Quarterly: Management Information Systems 13 (3): 319–339. doi:10.2307/249008.
  • De Vries, J., R. De Koster, and D. Stam. 2016a. “Aligning Order Picking Methods, Incentive Systems, and Regulatory Focus to Increase Performance.” Production and Operations Management 25 (8): 1363–1376. doi:10.1111/poms.12547.
  • De Vries, J., R. De Koster, and D. Stam. 2016b. “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 54 (8): 2260–2274. doi:10.1080/00207543.2015.1064184.
  • Donohue, K., Ö Özer, and Y. Zheng. 2020. “Behavioral Operations: Past, Present, and Future.” Manufacturing and Service Operations Management 22 (1): 191–202. doi:10.1287/msom.2019.0828.
  • Effidence. 2016. EffiBOT, (AGV/AMR). Effidence. https://www.effidence.com/effibot-agv-amr-3/.
  • Erez, A., and T. A. Judge. 2001. “Relationship of Core Self-Evaluations to Goal Setting, Motivation, and Performance.” Journal of Applied Psychology 86 (6): 1270–1279. doi:10.1037/0021-9010.86.6.1270.
  • European Commission. 2021. Industry 5.0. Research and innovation European Union. https://ec.europa.eu/info/research-and-innovation/research-area/industrial-research-and-innovation/industry-50_en.
  • European Commission, Directorate-General for Research and Innovation, M. Breque, L. De Nul, and A. Petridis. 2021. Industry 5.0 - Towards a Sustainable, Human-Centric and Resilient European Industry. Publications Office. https://data.europa.eu/doi/10.2777/308407.
  • Financial Times. 2021. Why I was wrong to be optimistic about robots. Financial Times. https://www.ft.com/content/087fce16-3924-4348-8390-235b435c53b2.
  • Fragapane, G., R. De Koster, F. Sgarbossa, and J. O. Strandhagen. 2021. “Planning and Control of Autonomous Mobile Robots for Intralogistics: Literature Review and Research Agenda.” European Journal of Operational Research 294 (2): 405–426. doi:10.1016/j.ejor.2021.01.019.
  • Griffeth, R. W., P. W. Hom, and S. Gaertner. 2000. “A Meta-Analysis of Antecedents and Correlates of Employee Turnover: Update, Moderator Tests, and Research Implications for the Next Millennium.” Journal of Management 26 (3): 463–488. doi:10.1177/014920630002600305.
  • Grosse, E. H., C. H. Glock, and W. P. Neumann. 2017. “Human Factors in Order Picking: A Content Analysis of the Literature.” International Journal of Production Research 55 (5): 1260–1276. doi:10.1080/00207543.2016.1186296.
  • The Guardian. 2020. ‘I'm not a robot’: Amazon workers condemn unsafe, grueling conditions at warehouse. The Guardian. https://www.theguardian.com/technology/2020/feb/05/amazon-workers-protest-unsafe-grueling-conditions-warehouse.
  • Gutelius, B., and N. Theodore. 2019. The Future of Warehouse Work: Technological Change in the U.S. Logistics Industry, (October), 1–76. http://laborcenter.berkeley.edu/future-of-warehouse-work/.
  • Hackman, J. R., and G. R. Oldham. 1974. The Job Diagnostic Survey: An Instrument for the Diagnosis of Jobs and the Evaluation of Job Redesign Projects. Report No. 4. Yale University, Department of Administration Science, New Haven, CT, (1).
  • Hsu, M. H., and C. M. Chiu. 2004. “Internet Self-Efficacy and Electronic Service Acceptance.” Decision Support Systems 38 (3): 369–381. doi:10.1016/j.dss.2003.08.001.
  • Inam, R., K. Raizer, A. Hata, R. Souza, E. Forsman, E. Cao, and S. Wang. 2018. “Risk Assessment for Human-Robot Collaboration in an Automated Warehouse Scenario.” IEEE international conference on emerging technologies and factory automation, ETFA, 2018-septe, 743–751. doi:10.1109/ETFA.2018.8502466
  • International Organization for Standardization. 2016. ISO/TS 15066:2016: Robots and Robotic Devices - Collaborative Robots. ISO.
  • Judge, T. A., and J. E. Bono. 2001. “Relationship of Core Self-Evaluations Traits - Self-Esteem, Generalized Self-Efficacy, Locus of Control, and Emotional Stability - With job Satisfaction and job Performance: A Meta-Analysis.” Journal of Applied Psychology 86 (1): 80–92. doi:10.1037//0021-9010.86.1.80.
  • Judge, T. A., J. E. Bono, and E. A. Locke. 2000. “Personality and job Satisfaction: The Mediating Role of job Characteristics.” Journal of Applied Psychology 85 (2): 237. doi:10.1037/0021-9010.85.2.237.
  • Judge, T. A., A. Erez, J. E. Bono, and E. A. Locke. 2005. “Core Self-Evaluations and job and Life Satisfaction: The Role of Self-Concordance and Goal Attainment.” Journal of Applied Psychology 90 (2): 257–268. doi:10.1037/0021-9010.90.2.257.
  • Judge, T. A., E. A. Locke, C. C. Durham, and A. N. Kluger. 1998. “Dispositional Effects on job and Life Satisfaction: The Role of Core Evaluations.” Journal of Applied Psychology 83 (1): 17–34. doi:10.1037/0021-9010.83.1.17.
  • Kacmar, K. M., B. J. Collins, K. J. Harris, and T. A. Judge. 2009. “Core Self-Evaluations and Job Performance: The Role of the Perceived Work Environment.” Journal of Applied Psychology 94 (6): 1572–1580. doi:10.1037/a0017498.
  • Kammeyer-Mueller, J. D., T. A. Judge, and B. A. Scott. 2009. “The Role of Core Self-Evaluations in the Coping Process.” Journal of Applied Psychology 94 (1): 177–195. doi:10.1037/a0013214.
  • Locke, E. A. 1969. “What is job Satisfaction?” Organizational Behavior and Human Performance 4 (4): 309–336. doi:10.1016/0030-5073(69)90013-0.
  • Locke, E. A.. 1976. “The Nature and Causes of job Satisfaction.” In Handbook of Industrial and Organizational Psychology. Vol. 1, 1297–1343. American Psychological Association.
  • Locus Robotics Autonomous Robots. 2020. Locus Robotics - How it works [Video]. Locus Robotics. https://locusrobotics.com/video/how-it-works/.
  • The Logistics iQ. 2020. Warehouse Automation Market. The Logistics iQ. https://www.thelogisticsiq.com/research/warehouse-automation-market/.
  • New York Times. 2021. Inside Amazon's Employment Machine. New York Times. https://www.nytimes.com/interactive/2021/06/15/us/amazon-workers.html.
  • Olsen, T. L., and B. Tomlin. 2020. “Industry 4.0: Opportunities and Challenges for Operations Management.” Manufacturing and Service Operations Management 22 (1): 113–122. doi:10.1287/msom.2019.0796.
  • Parker, S. K., and S. Ohly. 2008. “Designing Motivating Work.” In Work Motivation: Past, Present and Future, edited by R. Kanfer, G. Chen, and R. Prtichard, 233–284. New York, NY: Routledge.
  • Parker, S. K., H. M. Williams, and N. Turner. 2006. “Modeling the Antecedents of Proactive Behavior at Work.” Journal of Applied Psychology 91 (3): 636–652. doi:10.1037/0021-9010.91.3.636.
  • Pasparakis, A., J. De Vries, and M. B. M. De Koster. 2021. In Control or under Control? Human-Robot Collaboration in Warehouse Order Picking. Human-Robot Collaboration in Warehouse Order Picking (March 31, 2021).
  • Petković, T., D. Puljiz, I. Marković, and B. Hein. 2019. “Human Intention Estimation Based on Hidden Markov Model Motion Validation for Safe Flexible Robotized Warehouses.” Robotics and Computer-Integrated Manufacturing 57: 182–196. doi:10.1016/j.rcim.2018.11.004
  • Pütten, A. R. D. E. R., and N. Bock. 2018. Development and Validation of the Self-Efficacy in Human-Robot-Interaction Scale (SE-HRI).” ACM Transactions on Human-Robot Interaction (THRI) 7 (3): 1–30. doi:10.1145/3139352.
  • R Core Team. 2020. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
  • Rosenberg, M. 1965. “Rosenberg Self-Esteem Scale (RSE).” Acceptance and Commitment Therapy. Measures Package 61 (52): 18. doi:10.1037/t01038-000.
  • Rosenthal-Von Der Pütten, A. M., N. Bock, and K. Brockmann. 2017. “Not Your Cup of Tea?: How Interacting with a Robot Can Increase Perceived Self-Efficacy in HRI and Evaluation.” ACM/IEEE international conference on human-robot interaction, part F1271, 483–492. doi:10.1145/2909824.3020251
  • Schwalbe, M. L. 1985. “Autonomy in Work and Self-Esteem.” Sociological Quarterly 26 (4): 519–535. doi:10.1111/j.1533-8525.1985.tb00242.x.
  • Schwarzer, R., M. Jerusalem. and others. 1995. “Generalized Self-Efficacy Scale.” Measures in Health Psychology: A User’s Portfolio. Causal and Control Beliefs 1 (1): 35–37.
  • Seaman, A. 2021. LinkedIn Jobs on the Rise: 15 opportunities that are in demand and hiring now. LinkedIn. https://www.linkedin.com/pulse/linkedin-jobs-rise-15-opportunities-demand-hiring-now-andrew-seaman/.
  • Spector, P. E. 1986. “Perceived Control by Employees: A Meta-Analysis of Studies Concerning Autonomy and Participation at Work.” Human Relations 39 (11): 1005–1016. doi:10.1177/001872678603901104.
  • Torkzadeh, G., and T. P. van Dyke. 2001. “Development and Validation of an Internet Self-Efficacy Scale.” Behaviour & Information Technology 20 (4): 275–280. doi:10.1080/01449290110050293.
  • ToyotaMHEurope. 2011. DSV Road levels their workflow and decreases stress thanks to 4 BT Autopilots. Toyota Forklifts. https://toyota-forklifts.eu/about-toyota/news-and-editorials/dsv-road-levels-their-workflow-and-decreases-stress-thanks-to-4-bt-autopilots/.
  • Venkatesh, V., J. Y. L. Thong, and X. Xu. 2016. “Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead.” Journal of the Association for Information Systems 17 (5): 328–376. doi:10.1080/1097198X.2010.10856507.
  • The Wall Street Journal. 2021. Warehouses Look to Robots to Fill Labor Gaps, Speed Deliveries. The Wall Street Journal. https://www.wsj.com/articles/warehouses-look-to-robots-to-fill-labor-gaps-speed-deliveries-11621878163.
  • Wang, X. V., Z. Kemény, J. Váncza, and L. Wang. 2017. “Human–Robot Collaborative Assembly in Cyber-Physical Production: Classification Framework and Implementation.” CIRP Annals - Manufacturing Technology 66 (1): 5–8. doi:10.1016/j.cirp.2017.04.101.
  • Wang, L., S. Liu, H. Liu, and X. V. Wang. 2020. “Overview of Human-Robot Collaboration in Manufacturing.” Proceedings of 5th international conference on the industry 4.0 model for advanced manufacturing. Springer International Publishing. doi:10.1007/978-3-030-46212-3
  • Wang, Z., J.-B. Sheu, C.-P. Teo, and G. Xue. 2022. “Robot Scheduling for Mobile-Rack Warehouses: Human-Robot Coordinated Order Picking System.” Production and Operations Management 31 (1): 98–116. doi:10.1111/poms.13406.
  • Weiss, H. M., and R. Cropanzano. 1996. “Affective events theory.” Research in organizational behavior 18 (1): 1–74.
  • West, B. T., K. B. Welch, and A. T. Galecki. 2014. Linear Mixed Models: A Practical Guide Using Statistical Software. New York: Chapman and Hall/CRC.
  • Winkelhaus, S., E. H. Grosse, and C. H. Glock. 2022. “Job Satisfaction: An Explorative Study on Work Characteristics Changes of Employees in Intralogistics 4.0.” Journal of Business Logistics 43 (3): 343–367. doi:10.1111/jbl.12296.
  • Wu, A. C., M. L. Gumpertz, D. D. Boos, C. Wu, M. L. Gumpertz, and D. D. Boos. 2017. Comparison of GEE, MINQUE, ML, and REML Estimating Equations for Normally Distributed Data Published by : Taylor & Francis, Ltd. On behalf of the American Statistical Association Stable. http://www.jstor.org/stable/2685999 Comparison of GEE, MI, 55(2), 125–130.
  • Xanthopoulou, D., A. B. Bakker, E. Demerouti, and W. B. Schaufeli. 2009. “Work Engagement and Financial Returns: A Diary Study on the Role of job and Personal Resources.” Journal of Occupational and Organizational Psychology 82 (1): 183–200. doi:10.1348/096317908X285633.
  • Xanthopoulou, D., A. B. Bakker, E. Demerouti, and W. B. Schaufeli. 2012. “A Diary Study on the Happy Worker: How job Resources Relate to Positive Emotions and Personal Resources.” European Journal of Work and Organizational Psychology 21 (4): 489–517. doi:10.1080/1359432X.2011.584386.
  • Yanco, H. A., and J. Drury. 2004. “Classifying Human-Robot Interaction: An Updated Taxonomy.” 2004 IEEE international conference on systems, Man and cybernetics (IEEE Cat. No. 04CH37583) Vol. 3, pp. 2841–2846.