Collaborative or substitutive robots? Effects on workers’ skills in manufacturing activities

References

• Adler, P. S. 2007. “The Future of Critical Management Studies: A Paleo-Marxist Critique of Labour Process Theory.” Organization Studies 28 (9): 1313–1345. https://doi.org/10.1177/0170840607080743
   Web of Science ®Google Scholar
• Almeida, R. P., N. F. Ayala, G. B. Benitez, F. J. Kliemann Neto, and A. G. Frank. 2022. “How to Assess Investments in Industry 4.0 Technologies? A Multiple-Criteria Framework for Economic, Financial, and Sociotechnical Factors.” Production Planning & Control, https://doi.org/10.1080/09537287.2022.2035445.
   Web of Science ®Google Scholar
• Argyris, Ch, and D. A. Schön. 1997. “Organizational Learning: A Theory of Action Perspective.” Reis 77/78 (77/78): 345–348. https://doi.org/10.2307/40183951.
   Google Scholar
• Atzeni, G., G. Vignali, L. Tebaldi, and E. Bottani. 2021. “A Bibliometric Analysis on Collaborative Robots in Logistics 4.0 Environments.” Procedia Computer Science 180: 686–695. https://doi.org/10.1016/j.procs.2021.01.291.
   Google Scholar
• Autor, D. H. 2015. “Why Are There Still So Many Jobs? The History and Future of Workplace Automation.” Journal of Economic Perspectives 29 (3): 3–30. https://doi.org/10.1257/jep.29.3.3.
   Web of Science ®Google Scholar
• Autor, D. H., D. Mindell, and E. Reynolds. 2020. “The Work of the Future: Building Better Jobs in an Age of Intelligent Machines”. https://workofthefuture.mit.edu/wp-content/uploads/2021/01/2020-Final-Report4.pdf.
   Google Scholar
• Barry, L. C. 1974. “Job Enrichment in a Union Environment – a Progress Report.” SAE Technical Papers, https://doi.org/10.4271/740378.
   Google Scholar
• Bauer, W., M. Bender, M. Braun, P. Rally, and O. Scholtz. 2016. “Lightweight Robots in Manual Assembly Best to Start Simply”. https://www.edig.nu/assets/images/content/Studie-Leichtbauroboter-Fraunhofer-IAO-2016-EN.pdf.
   Google Scholar
• Becker, T., and H. Stern. 2016. “Future Trends in Human Work Area Design for Cyber-Physical Production Systems.” In Procedia CIRP – 49th CIRP Conference on Manufacturing Systems (CIRP-CMS 2016) Vol. 57: 404–409. https://doi.org/10.1016/j.procir.2016.11.070.
   Google Scholar
• Bello-Pintado, A., T. García Marco, and F. Zouaghi. 2019. “Product/Process Definition, Technology Adoption and Workforce Qualification: Impact on Performance.” International Journal of Production Research 57 (1): 200–215. https://doi.org/10.1080/00207543.2018.1468096.
   Web of Science ®Google Scholar
• Benitez, G. B., N. F. Ayala, and A. G. Frank. 2020. “Industry 4.0 Innovation Ecosystems: An Evolutionary Perspective on Value Cocreation.” International Journal of Production Economics 228: 107735. https://doi.org/10.1016/j.ijpe.2020.107735.
   Web of Science ®Google Scholar
• Benitez, G. B., M. Ferreira-Lima, N. F. Ayala, and A. G. Frank. 2022. “Industry 4.0 Technology Provision: The Moderating Role of Supply Chain Partners to Support Technology Providers.” Supply Chain Management 27 (1): 89–112. https://doi.org/10.1108/SCM-07-2020-0304.
   Web of Science ®Google Scholar
• Benitez, G. B., A. Ghezzi, and A. G. Frank. 2023. “When Technologies Become Industry 4.0 Platforms: Defining the Role of Digital Technologies Through a Boundary-Spanning Perspective.” International Journal of Production Economics 260: 108858. https://doi.org/10.1016/j.ijpe.2023.108858.
   Web of Science ®Google Scholar
• Bragança, S., E. Costa, I. Castellucci, and P. M. Arezes. 2019. “A Brief Overview of the Use of Collaborative Robots in Industry 4.0: Human Role and Safety.” Occupational and Environmental Safety and Health, https://doi.org/10.1007/978-3-030-14730-3_68. Studies in Systems, Decision and Control, vol 202. Springer, Cham.
   Google Scholar
• Braverman, H. 1974. Labor and Monopoly Capital. The Degradation of Work in the Twentieth Century. New York: Monthly Review Press.
   Google Scholar
• Breque, M., L. De Nul, and A. Petridis. 2021. “Industry 5.0: Towards a sustainable, human-centric and resilient European industry”. https://op.europa.eu/en/publication-detail/-/publication/468a892a-5097-11eb-b59f-01aa75ed71a1.
   Google Scholar
• Chandrasekaran, A., S. de Treville, and T. Browning. 2020. “Intervention-Based Research (IBR)—What, Where, and How to Use it in Operations Management.” Journal of Operations Management 66 (4): 370–378. https://doi.org/10.1002/joom.1093.
   Web of Science ®Google Scholar
• Charalambous, G., S. Fletcher, and P. Webb. 2016. “The Development of a Scale to Evaluate Trust in Industrial Human-Robot Collaboration.” International Journal of Social Robotics 8 (2): 193–209. https://doi.org/10.1007/s12369-015-0333-8.
   Web of Science ®Google Scholar
• Cohen, Y., S. Shoval, M. Faccio, and R. Minto. 2021. “Deploying Cobots in Collaborative Systems: Major Considerations and Productivity Analysis.” International Journal of Production Research 60 (6): 1815–1831. https://doi.org/10.1080/00207543.2020.1870758.
   Web of Science ®Google Scholar
• Corò, G., M. Plechero, F. Rullani, and M. Volpe. 2021. “Industry 4.0 Technological Trajectories and Traditional Manufacturing Regions: The Role of Knowledge Workers.” Regional Studies 55 (10-11): 1681–1695. https://doi.org/10.1080/00343404.2021.1934433.
   Web of Science ®Google Scholar
• Dalenogare, L. S., M. M. Baseggio, N. F. Ayala, M.-A. Le Dain, and A. G. Frank. 2019. “The Contribution of Smart Glasses for PSS.” Procedia CIRP 83: 318–323. https://doi.org/10.1016/j.procir.2019.03.307.
   Google Scholar
• Dalenogare, L. S., G. B. Benitez, N. F. Ayala, and A. G. Frank. 2018. “The Expected Contribution of Industry 4.0 Technologies for Industrial Performance.” International Journal of Production Economics 204: 383–394. https://doi.org/10.1016/j.ijpe.2018.08.019.
   Web of Science ®Google Scholar
• Docherty, P., J. Forslin, and A. B. (Rami) Shani. 2002. Creating Sustainable Work Systems. London: Routledge.
   Google Scholar
• Dolgui, A., F. Sgarbossa, and M. Simonetto. 2022. “Design and Management of Assembly Systems 4.0: Systematic Literature Review and Research Agenda.” International Journal of Production Research 60 (1): 184–210. https://doi.org/10.1080/00207543.2021.1990433.
   Web of Science ®Google Scholar
• Dornelles, J. D. A. 2022. “Smart Working Technologies in Industry 4.0: Contributions to Different Manufacturing Activities and Workers’ Skills.” Master dissertation. Federal University of Rio Grande do Sul. https://lume.ufrgs.br/bitstream/handle/10183/237441/001138308.pdf?isAllowed=y&sequence=1
   Google Scholar
• Dornelles, J. de A., N. F. Ayala, and A. G. Frank. 2022. “Smart Working in Industry 4.0: How Digital Technologies Enhance Manufacturing Workers’ Activities.” Computers & Industrial Engineering 163: 107804. https://doi.org/10.1016/j.cie.2021.107804.
   Web of Science ®Google Scholar
• Enrique, D. V., É Marcon, F. Charrua-Santos, and A. G. Frank. 2022. “Industry 4.0 Enabling Manufacturing Flexibility: Technology Contributions to Individual Resource and Shop Floor Flexibility.” Journal of Manufacturing Technology Management 33 (5): 853–875. https://doi.org/10.1108/JMTM-08-2021-0312.
   Web of Science ®Google Scholar
• Faccio, M., I. Granata, A. Menini, et al. 2022. “Human Factors in Cobot era: A Review of Modern Production Systems Features.” Journal of Intelligent Manufacturing 34: 85–106. https://doi.org/10.1007/s10845-022-01953-w.
   Web of Science ®Google Scholar
• Fantini, P., M. Pinzone, and M. Taisch. 2020. “Placing the Operator at the Centre of Industry 4.0 Design: Modelling and Assessing Human Activities Within Cyber-Physical Systems.” Computers and Industrial Engineering 139 (February 2018), 105058. https://doi.org/10.1016/j.cie.2018.01.025
   Web of Science ®Google Scholar
• Fantini, P., G. Tavola, M. Taisch, J. Barbosa, P. Leitao, Y. Liu, … N. Lohse. 2016. “Exploring the Integration of the Human as a Flexibility Factor in CPS Enabled Manufacturing Environments: Methodology and Results.” IECON 2016 – 42nd Annual Conference of the IEEE Industrial Electronics Society, IEEE, 5711–5716. https://doi.org/10.1109/IECON.2016.7793579.
   Google Scholar
• Ferraguti, F., A. Pertosa, C. Secchi, C. Fantuzzi, and M. Bonfè. 2019. “A Methodology for Comparative Analysis of Collaborative Robots for Industry 4.0.” 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1070–1075. https://doi.org/10.23919/DATE.2019.8714830.
   Google Scholar
• Frank, A. G., L. S. Dalenogare, and N. F. Ayala. 2019. “Industry 4.0 Technologies: Implementation Patterns in Manufacturing Companies.” International Journal of Production Economics 210: 15–26. https://doi.org/10.1016/j.ijpe.2019.01.004.
   Web of Science ®Google Scholar
• Frank, A. G., D. V. S. Souza, J. L. D. Ribeiro, and M. E. Echeveste. 2013. “A Framework for Decision-Making in Investment Alternatives Selection.” International Journal of Production Research 51 (19): 5866–5883. https://doi.org/10.1080/00207543.2013.802393.
   Web of Science ®Google Scholar
• Frey, C. B., and M. A. Osborne. 2017. “The Future of Employment: How Susceptible are Jobs to Omputerisation?” Technological Forecasting and Social Change 114: 254–280. https://doi.org/10.1016/j.techfore.2016.08.019.
   Web of Science ®Google Scholar
• Gekara, V. O., and V.-X. Thanh Nguyen. 2018. “New Technologies and the Transformation of Work and Skills: A Study of Computerisation and Automation of Australian Container Terminals.” New Technology, Work and Employment 33 (3): 219–233. https://doi.org/10.1111/ntwe.12118.
   Web of Science ®Google Scholar
• Genta, G., M. Galetto, and F. Franceschini. 2020. “Inspection Procedures in Manufacturing Processes: Recent Studies and Research Perspectives.” International Journal of Production Research 58 (15): 4767–4788. https://doi.org/10.1080/00207543.2020.1766713.
   Web of Science ®Google Scholar
• Goldin, C., and L. F. Katz. 1998. “The Origins of Technology-Skill Complementarity.” The Quarterly Journal of Economics 113 (3): 693–732. https://doi.org/10.1162/003355398555720.
   Web of Science ®Google Scholar
• Green, J. C., J. Lee, and T. A. Kozman. 2010. “Managing Lean Manufacturing in Material Handling Operations.” International Journal of Production Research 48 (10): 2975–2993. https://doi.org/10.1080/00207540902791819.
   Web of Science ®Google Scholar
• Grosse, E. H. 2023. “Application of Supportive and Substitutive Technologies in Manual Warehouse Order Picking: A Content Analysis.” International Journal of Production Research, 1–20. https://doi.org/10.1080/00207543.2023.2169383.
   Web of Science ®Google Scholar
• Hashemi-Petroodi, S. E., S. Thevenin, S. Kovalev, and A. Dolgui. 2020. “Operations Management Issues in Design and Control of Hybrid Human-Robot Collaborative Manufacturing Systems: A Survey.” Annual Reviews in Control 49: 264–276. https://doi.org/10.1016/j.arcontrol.2020.04.009.
   Web of Science ®Google Scholar
• Hulin, C. L. 1968. “Effects of Changes in Job-Satisfaction Levels on Employee Turnover.” Journal of Applied Psychology 52 (2): 122. https://doi.org/10.1037/h0025655.
   Web of Science ®Google Scholar
• Ivanov, D. 2022. “The Industry 5.0 Framework: Viability-Based Integration of the Resilience, Sustainability, and Human-Centricity Perspectives.” International Journal of Production Research, 1–13. https://doi.org/10.1080/00207543.2022.2118892.
   Web of Science ®Google Scholar
• Ivanov, S., M. Kuyumdzhiev, and C. Webster. 2020. “Automation Fears: Drivers and Solutions.” Technology in Society 63: 101431. https://doi.org/10.1016/j.techsoc.2020.101431.
   Web of Science ®Google Scholar
• Ivanov, D., C. S. Tang, A. Dolgui, D. Battini, and A. Das. 2021. “Researchers’ Perspectives on Industry 4.0: Multi-Disciplinary Analysis and Opportunities for Operations Management.” International Journal of Production Research 59 (7): 2055–2078. https://doi.org/10.1080/00207543.2020.1798035.
   Web of Science ®Google Scholar
• Kadir, B. A., and O. Broberg. 2020. “Human Well-Being and System Performance in the Transition to Industry 4.0.” International Journal of Industrial Ergonomics 76: 102936. https://doi.org/10.1016/j.ergon.2020.102936.
   Web of Science ®Google Scholar
• Katiraee, N., M. Calzavara, S. Finco, D. Battini, and O. Battaïa. 2021. “Consideration of Workers’ Differences in Production Systems Modelling and Design: State of the Art and Directions for Future Research.” International Journal of Production Research 59 (11): 3237–3268. https://doi.org/10.1080/00207543.2021.1884766.
   Web of Science ®Google Scholar
• Kolberg, D., J. Knobloch, and D. Zühlke. 2017. “Towards a Lean Automation Interface for Workstations.” International Journal of Production Research 55 (10): 2845–2856. https://doi.org/10.1080/00207543.2016.1223384.
   Web of Science ®Google Scholar
• Li, L. 2022. “Reskilling and Upskilling the Future-Ready Workforce for Industry 4.0 and Beyond.” Information Systems Frontiers, https://doi.org/10.1007/s10796-022-10308-y.
   Web of Science ®Google Scholar
• Liu, L., F. Guo, Z. Zou, and V. G. Duffy. 2022. “Application, Development and Future Opportunities of Collaborative Robots (Cobots) in Manufacturing: A Literature Review.” International Journal of Human–Computer Interaction, https://doi.org/10.1080/10447318.2022.2041907.
   Web of Science ®Google Scholar
• Marcon, É, M. Soliman, W. Gerstlberger, and A. G. Frank. 2021. “Sociotechnical Factors and Industry 4.0: An Integrative Perspective for the Adoption of Smart Manufacturing Technologies.” Journal of Manufacturing Technology Management 33 (2): 259–286. https://doi.org/10.1108/JMTM-01-2021-0017.
   Web of Science ®Google Scholar
• Margherita, E. G., and A. M. Braccini. 2021. “Managing Industry 4.0 Automation for Fair Ethical Business Development: A Single Case Study.” Technological Forecasting and Social Change 172: 121048. https://doi.org/10.1016/j.techfore.2021.121048.
   Web of Science ®Google Scholar
• Matheson, E., R. Minto, E. G. G. Zampieri, M. Faccio, and G. Rosati. 2019. “Human–Robot Collaboration in Manufacturing Applications: A Review.” Robotics 8: 100. https://doi.org/10.3390/robotics8040100.
   Web of Science ®Google Scholar
• Meindl, B., N. F. Ayala, J. Mendonça, and A. G. Frank. 2021. “The Four Smarts of Industry 4.0: Evolution of ten Years of Research and Future Perspectives.” Technological Forecasting and Social Change 168: 120784. https://doi.org/10.1016/j.techfore.2021.120784.
   Web of Science ®Google Scholar
• Miles, M. B., and A. M. Huberman. 1994. Qualitative Data Analysis: An Expanded Sourcebook. 2nd ed. London: SAGE Publications.
   Google Scholar
• Neumann, W. P., S. Kihlberg, P. Medbo, S. E. Mathiassen, and J. Winkel. 2002. “A Case Study Evaluating the Ergonomic and Productivity Impacts of Partial Automation Strategies in the Electronics Industry.” International Journal of Production Research 40 (16): 4059–4075. https://doi.org/10.1080/00207540210148862.
   Web of Science ®Google Scholar
• Neumann, W. P., S. Winkelhaus, E. H. Grosse, and C. H. Glock. 2021. “Industry 4.0 and the Human Factor – A Systems Framework and Analysis Methodology for Successful Development.” International Journal of Production Economics 233: 107992. https://doi.org/10.1016/j.ijpe.2020.107992.
   Web of Science ®Google Scholar
• Peron, M., F. Sgarbossa, and J. O. Strandhagen. 2020. “Decision Support Model for Implementing Assistive Technologies in Assembly Activities: A Case Study.” International Journal of Production Research 60 (4): 1341–1367. https://doi.org/10.1080/00207543.2020.185644.
   Web of Science ®Google Scholar
• Pfeiffer, S. 2018. “Industry 4.0: Robotics and Contradictions.” In Technologies of Labour and the Politics of Contradiction, edited by P. Bilić, J. Primorac, and B. Valtýsson, 19–36. Cham: Palgrave Macmillan. https://doi.org/10.1007/978-3-319-76279-1_2.
   Google Scholar
• Quenehen, A., N. Klement, A. M. Abdeljaouad, L. Roucoules, and O. Gibaru. 2022. “Economic and Ergonomic Performance Enhancement in Assembly Process Through Multiple Collaboration Modes Between Human and Robot.” International Journal of Production Research, 1–15. https://doi.org/10.1080/00207543.2022.2039795.
   Web of Science ®Google Scholar
• Raj, A., G. Dwivedi, A. Sharma, A. B. Lopes de Sousa Jabbour, and S. Rajak. 2020. “Barriers to the Adoption of Industry 4.0 Technologies in the Manufacturing Sector: An Inter-Country Comparative Perspective.” International Journal of Production Economics 224: 107546. https://doi.org/10.1016/j.ijpe.2019.107546.
   Web of Science ®Google Scholar
• Romero, D., P. Bernus, O. Noran, J. Stahre, and Å Fast-Berglund. 2016. “The Operator 4.0: Human Cyber-Physical Systems & Adaptive Automation Towards Human-Automation Symbiosis Work Systems.” In APMS, edited by I. Nääs, O. Vendrametto, J. Mendes Reis, R. F. Gonçalves, M. T. Silva, G. von Cieminski, and D. Kiritsis, 677–686. Springer International Publishing. https://doi.org/10.1007/978-3-319-51133-7_80.
   Google Scholar
• Romero, D., J. Stahre, and M. Taisch. 2020. “The Operator 4.0: Towards Socially Sustainable Factories of the Future.” Computers & Industrial Engineering 139: 106128. https://doi.org/10.1016/j.cie.2019.106128.
   Web of Science ®Google Scholar
• Rossini, M., F. Costa, G. L. Tortorella, A. Valvo, and A. Portioli-Staudacher. 2021. “Lean Production and Industry 4.0 Integration: How Lean Automation is Emerging in Manufacturing Industry.” International Journal of Production Research, 1–21. https://doi.org/10.1080/00207543.2021.1992031.
   Web of Science ®Google Scholar
• Seider, W. D., J. D. Seader, and D. R. Lewin. 2019. Product and Process Design Principles: Synthesis, Analysis and Evaluation. 4th ed. New York: John Wiley & Sons.
   Google Scholar
• Sgarbossa, F., E. H. Grosse, W. P. Neumann, D. Battini, and C. H. Glock. 2020. “Human Factors in Production and Logistics Systems of the Future.” Annual Reviews in Control 49: 295–305. https://doi.org/10.1016/j.arcontrol.2020.04.007.
   Web of Science ®Google Scholar
• Statista. 2023. Projected Size of the Global Market for Collaborative Robots from 2020 to 2030. Feb 03. https://www.statista.com/statistics/1239304/size-of-the-collaborative-robot-cobot-market/.
   Google Scholar
• Stecke, K. E., and M. Mokhtarzadeh. 2022. “Balancing Collaborative Human–Robot Assembly Lines to Optimise Cycle Time and Ergonomic Risk.” International Journal of Production Research 60 (1): 25–47. https://doi.org/10.1080/00207543.2021.1989077.
   Web of Science ®Google Scholar
• Tabim, V. M., N. F. Ayala, and A. G. Frank. 2021. “Implementing Vertical Integration in the Industry 4.0 Journey: Which Factors Influence the Process of Information Systems Adoption?” Information Systems Frontiers, https://doi.org/10.1007/s10796-021-10220-x.
   PubMed Web of Science ®Google Scholar
• Tarallo, A., R. Mozzillo, G. Di Gironimo, and R. De Amicis. 2018. “A Cyber-Physical System for Production Monitoring of Manual Manufacturing Processes.” International Journal on Interactive Design and Manufacturing (IJIDeM) 12 (4): 1235–1241. https://doi.org/10.1007/s12008-018-0493-5.
   Google Scholar
• Vanderstraeten, A. 2018. Strategic HRM and Performance: A Conceptual Framework. 1st ed. Vol. 20. London: Bloomsbury Publishing.
   Google Scholar
• Voss, C., N. Tsikriktsis, and M. Frohlich. 2002. “Case Research in Operations Management.” International Journal of Operations & Production Management 22 (2): 195–219. https://doi.org/10.1108/01443570210414329.
   Web of Science ®Google Scholar
• Wagner, H., A. Dainty, R. Hague, C. Tuck, and M. H. Ong. 2008. “The Effects of new Technology Adoption on Employee Skills in the Prosthetics Profession.” International Journal of Production Research 46 (22): 6461–6478. https://doi.org/10.1080/00207540701432623.
   Web of Science ®Google Scholar
• Wang, L., R. Gao, J. Váncza, J. Krüger, X. V. Wang, S. Makris, and G. Chryssolouris. 2019. “Symbiotic Human-Robot Collaborative Assembly.” CIRP Annals 68 (2): 701–726. https://doi.org/10.1016/j.cirp.2019.05.002.
   Web of Science ®Google Scholar
• 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 66 (1): 5–8. https://doi.org/10.1016/j.cirp.2017.04.101.
   Web of Science ®Google Scholar
• Waschull, S., J. A. C. Bokhorst, and J. C. Wortmann. 2017. “Impact of Technology on Work: Technical Functionalities That Give Rise to New Job Designs in Industry 4.0.” In Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing. APMS 2017. IFIP Advances in Information and Communication Technology. Vol 513, edited by H. Lödding, R. Riedel, K. D. Thoben, G. von Cieminski, and D. Kiritsis. Cham: Springer. https://doi.org/10.1007/978-3-319-66923-6_32.
   Google Scholar
• Westerman, G., D. Bonnet, and A. McAfee. 2014. Leading Digital: Turning Technology Into Business Transformation. Boston: Harvard Business Press.
   Google Scholar
• Winkelhaus, S., E. H. Grosse, and S. Morana. 2021. “Towards a Conceptualisation of Order Picking 4.0.” Computers & Industrial Engineering 159: 107511. https://doi.org/10.1016/j.cie.2021.107511.
   Web of Science ®Google Scholar
• Zaatari, S. E., M. Marei, W. Li, and Z. Usman. 2019. “Cobot Programming for Collaborative Industrial Tasks: An Overview.” Robotics and Autonomous Systems 116: 162–180. https://doi.org/10.1016/j.robot.2019.03.003.
   Web of Science ®Google Scholar