374
Views
0
CrossRef citations to date
0
Altmetric
Research Articles

Industry 5.0 use cases development framework

, , , ORCID Icon, &
Pages 6064-6089 | Received 08 Mar 2023, Accepted 09 Jan 2024, Published online: 31 Jan 2024

References

  • Abdous, M.-A., X. Delorme, D. Battini, and S. Berger-Douce. 2022. “Multi-objective Collaborative Assembly Line Design Problem with the Optimisation of Ergonomics and Economics.” International Journal of Production Research 61 (22): 7830–7845. https://doi.org/10.1080/00207543.2022.2153185.
  • Attaran, M., and B. G. Celik. 2023. “Digital Twin: Benefits, Use Cases, Challenges, and Opportunities.” Decision Analytics Journal 6: 100165. https://doi.org/10.1016/j.dajour.2023.100165.
  • Autor, D. H., D. A. Mindell, E. Reynolds, and R. M. Solow. 2022. The Work of the Future: Building Better Jobs in an Age of Intelligent Machines. Cambridge, MA: The MIT Press.
  • Ávila-Gutiérrez, M. J., F. Aguayo-González, and J. R. Lama-Ruiz. 2021. “Framework for the Development of Affective and Smart Manufacturing Systems Using Sensorised Surrogate Models.” Sensors 21 (7): Article 7. https://doi.org/10.3390/s21072274.
  • Betella, A., and P. F. Verschure. 2016. “The Affective Slider: A Digital Self-Assessment Scale for the Measurement of Human Emotions.” PLoS One 11 (2): e0148037. https://doi.org/10.1371/journal.pone.0148037.
  • Bourdu, É, M.-M. Péretié, and M. Richer. 2016. La qualité de vie au travail: Un levier de compétitivité refonder les organisations du travail (1–1). Paris (France): Presses des mines-Transvalor La Fabrique de l’industrie.
  • Brey, P. 1999. “Worker Autonomy and the Drama of Digital Networks in Organizations.” Journal of Business Ethics 22 (1): 15–25. https://doi.org/10.1023/A:1006199816737.
  • Bueno, A., M. Godinho Filho, and A. G. Frank. 2020. “Smart Production Planning and Control in the Industry 4.0 Context: A Systematic Literature Review.” Computers & Industrial Engineering 149: 106774. https://doi.org/10.1016/j.cie.2020.106774.
  • Cagliano, R., F. Canterino, A. Longoni, and E. Bartezzaghi. 2019. “The Interplay Between Smart Manufacturing Technologies and Work Organization: The Role of Technological Complexity.” International Journal of Operations & Production Management 39 (6/7/8): 913–934. https://doi.org/10.1108/IJOPM-01-2019-0093.
  • Calzavara, M., D. Battini, D. Bogataj, F. Sgarbossa, and I. Zennaro. 2020. “Ageing Workforce Management in Manufacturing Systems: State of the art and Future Research Agenda.” International Journal of Production Research 58 (3): 729–747. https://doi.org/10.1080/00207543.2019.1600759.
  • Calzavara, M., M. Faccio, and I. Granata. 2023. “Multi-objective Task Allocation for Collaborative Robot Systems with an Industry 5.0 Human-Centered Perspective.” The International Journal of Advanced Manufacturing Technology 128 (1): 297–314. https://doi.org/10.1007/s00170-023-11673-x.
  • Cirillo, V., M. Rinaldini, J. Staccioli, and M. E. Virgillito. 2021. “Technology vs. Workers: The Case of Italy’s Industry 4.0 Factories.” Structural Change and Economic Dynamics 56: 166–183. https://doi.org/10.1016/j.strueco.2020.09.007.
  • Danjou, C., R. Pellerin, and L. Rivest. 2017. Le passage au numérique: Industrie 4.0: des pistes pour aborder l’ère du numérique et de la connectivité, 26. Québec (Canada): Centre francophone d’informatisation des organisations (CEFRIO). https://espace2.etsmtl.ca/id/eprint/14934/1/le-passage-au-num%C3%A9rique.pdf.
  • Deci, E. L., and R. M. Ryan. 1985. “The General Causality Orientations Scale: Self-Determination in Personality.” Journal of Research in Personality 19 (2): 109–134. https://doi.org/10.1016/0092-6566(85)90023-6.
  • De Jonge, J. 1995. Job autonomy, well-being, and health: A study among Dutch health care workers. Maastricht (Netherlands): Maastricht University.
  • De Pace, F., F. Manuri, A. Sanna, and C. Fornaro. 2020. “A Systematic Review of Augmented Reality Interfaces for Collaborative Industrial Robots.” Computers & Industrial Engineering 149: 106806. https://doi.org/10.1016/j.cie.2020.106806.
  • de Paula Ferreira, W., F. Armellini, L. A. de Santa-Eulalia, and V. Thomasset-Laperrière. 2022. “A Framework for Identifying and Analysing Industry 4.0 Scenarios.” Journal of Manufacturing Systems 65: 192–207. https://doi.org/10.1016/j.jmsy.2022.09.002.
  • de Terssac, G. 2012. “Autonomie et travail.” In Dictionnaire du travail, edited by PUF, 47–53. Toulouse (France): PUF. https://univ-tlse2.hal.science/hal-00846542.
  • Doellken, M., J. Zapata, N. Thomas, and S. Matthiesen. 2021. “Implementing Innovative Gaze Analytic Methods in Design for Manufacturing: A Study on eye Movements in Exploiting Design Guidelines.” Procedia CIRP 100: 415–420. https://doi.org/10.1016/j.procir.2021.05.097.
  • Dornelles, J., A. de, 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.
  • Doyle-Kent, M., and P. Kopacek. 2021. “Adoption of Collaborative Robotics in Industry 5.0. An Irish Industry Case Study.” IFAC-PapersOnLine 54 (13): 413–418. https://doi.org/10.1016/j.ifacol.2021.10.483.
  • Doyle-Kent, M., and B. W. Shanahan. 2022. “The Development of a Novel Educational Model to Successfully Upskill Technical Workers for Industry 5.0: Ireland a Case Study.” IFAC-PapersOnLine 55 (39): 425–430. https://doi.org/10.1016/j.ifacol.2022.12.072.
  • Eden, D. 2017. “Field Experiments in Organizations.” Annual Review of Organizational Psychology and Organizational Behavior 4: 91–122. https://doi.org/10.1146/annurev-orgpsych-041015-062400.
  • Enang, E., M. Bashiri, and D. Jarvis. 2023. “Exploring the Transition from Techno Centric Industry 4.0 Towards Value Centric Industry 5.0: A Systematic Literature Review.” International Journal of Production Research 61 (22): 7866–7902. https://doi.org/10.1080/00207543.2023.2221344.
  • Eslami, M. H., H. Jafari, L. Achtenhagen, J. Carlbäck, and A. Wong. 2021. “Financial Performance and Supply Chain Dynamic Capabilities: The Moderating Role of Industry 4.0 Technologies.” International Journal of Production Research, 1–18. https://doi.org/10.1080/00207543.2021.1966850.
  • European Commission. Directorate General for Research and Innovation. 2021. Industry 5.0: Towards a Sustainable, Human Centric and Resilient European Industry. Brussels (Belgium): Publications Office.
  • Everaere, C. 2007. “Proposition d’un outil d’évaluation de l’autonomie dans le travail.” Revue française de gestion 34 (11): 45–59. https://doi.org/10.3166/rfg.180.45-59.
  • Fonda, E., and A. Meneghetti. 2022. “The Human-Centric SMED.” Sustainability 14 (1): Article 1. https://doi.org/10.3390/su14010514.
  • Frazzon, E. M., J. Hartmann, T. Makuschewitz, and B. Scholz-Reiter. 2013. “Towards Socio-Cyber-Physical Systems in Production Networks.” Procedia CIRP 7: 49–54. https://doi.org/10.1016/j.procir.2013.05.009.
  • Gagné, M., and E. L. Deci. 2005. “Self-Determination Theory and Work Motivation.” Journal of Organizational Behavior 26: 331–362. https://doi.org/10.1002/job.322.
  • Gao, Y., M. Li, and S. Sun. 2022. “Field Experiments in Operations Management.” Journal of Operations Management, 676–701. https://doi.org/10.1002/joom.1240.
  • Gao, N., W. Shao, M. S. Rahaman, and F. D. Salim. 2020. “N-gage: Predicting in-Class Emotional, Behavioural and Cognitive Engagement in the Wild.” Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4 (3): 1–26.
  • Garcia, A., M. Quartulli, I. G. Olaizola, and I. Barandiaran. 2022. Relevance of Visualization and Interaction Technologies for Industry 5.0. 3214. Valencia (Spain): Scopus.
  • Golan, M., Y. Cohen, and G. Singer. 2020. “A Framework for Operator – Workstation Interaction in Industry 4.0.” International Journal of Production Research 58 (8): 2421–2432. https://doi.org/10.1080/00207543.2019.1639842.
  • 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.
  • Guay, F., R. J. Vallerand, and C. Blanchard. 2000. “On the Assessment of Situational Intrinsic and Extrinsic Motivation: The Situational Motivation Scale (SIMS).” Motivation and Emotion 24: 175–213. https://doi.org/10.1023/A:1005614228250.
  • Guo, D., P. Lin, Z. Lyu, S. Ling, M. Li, G. Q. Huang, and Y. Rong. 2019. “Towards Assembly 4.0: Graduation Intelligent Manufacturing System for Fixed-Position Assembly Islands.” IFAC-PapersOnLine 52 (13): 1513–1518. https://doi.org/10.1016/j.ifacol.2019.11.414.
  • Hackman, J. R., and G. R. Oldham. 1976. “Motivation Through the Design of Work: Test of a Theory.” Organizational Behavior and Human Performance 16: 250–279. https://doi.org/10.1016/0030-5073(76)90016-7.
  • Hart, S. G., and L. E. Staveland. 1988. “Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research.” In Advances in Psychology, Vol. 52, edited by P. A. Hancock and N. Meshkati, 139–183. Amsterdam (Netherlands): Elsevier.
  • Helm, M., A. Malikova, and J. Kembro. 2023. “Rooting out the Root Causes of Order Fulfilment Errors: A Multiple Case Study.” International Journal of Production Research, https://doi.org/10.1080/00207543.2023.2251060.
  • Highhouse, S. 2009. “Designing Experiments That Generalize.” Organizational Research Methods 12 (3): 554–566. https://doi.org/10.1177/1094428107300396.
  • Ivanov, D. 2022. “The Industry 5.0 Framework: Viability-Based Integration of the Resilience, Sustainability, and Human-Centricity Perspectives.” International Journal of Production Research 61: 1683–1695. https://doi.org/10.1080/00207543.2022.2118892.
  • Jacobson, I., I. Spence, and K. Bittner. 2011. Use-Case 2.0, The Guide to Succeeding with Use Cases. Ivar Jacobson International.
  • Joblot, L., F. Magnani, F. Rosin, M. Passalacqua, and R. Pellerin. 2023. Protocole expérimental visant l’étude de l’IA centrée sur l’humain dans le contexte de l’Industrie 5.0: Application en réalité augmentée.
  • Kaasinen, E., F. Schmalfuß, C. Özturk, S. Aromaa, M. Boubekeur, J. Heilala, P. Heikkilä, et al. 2020. “Empowering and Engaging Industrial Workers with Operator 4.0 Solutions.” Computers & Industrial Engineering 139: 105678. https://doi.org/10.1016/j.cie.2019.01.052.
  • Katok, E. 2011. “Laboratory Experiments in Operations Management.” In Transforming Research Into Action, edited by Informs, 15–35. Catonsville (Maryland): INFORMS.
  • Kim, H.-G., E.-J. Cheon, D.-S. Bai, Y. H. Lee, and B.-H. Koo. 2018. “Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature.” Psychiatry Investigation 15 (3): 235. https://doi.org/10.30773/pi.2017.08.17.
  • Klein, G. 2008. “Naturalistic Decision Making.” Human Factors: The Journal of the Human Factors and Ergonomics Society 50 (3): 456–460. https://doi.org/10.1518/001872008X288385.
  • Kumar, R., P. Gupta, S. Singh, and D. Jain. 2021. “Human Empowerment by Industry 5.0 in Digital Era: Analysis of Enablers.” In Advances in Industrial and Production Engineering, edited by R. K. Phanden, K. Mathiyazhagan, R. Kumar, and J. Paulo Davim, 401–410. Singapore (Singapore): Springer.
  • Lai, Z.-H., W. Tao, M. C. Leu, and Z. Yin. 2020. “Smart Augmented Reality Instructional System for Mechanical Assembly Towards Worker-Centered Intelligent Manufacturing.” Journal of Manufacturing Systems 55: 69–81. https://doi.org/10.1016/j.jmsy.2020.02.010.
  • Lesch, V., M. Züfle, A. Bauer, L. Iffländer, C. Krupitzer, and S. Kounev. 2023. “A Literature Review of IoT and CPS – What They are, and What They are not.” Journal of Systems and Software 200: 111631. https://doi.org/10.1016/j.jss.2023.111631.
  • Levenstein, S., C. Prantera, V. Varvo, M. L. Scribano, E. Berto, C. Luzi, and A. Andreoli. 1993. “Development of the Perceived Stress Questionnaire: A new Tool for Psychosomatic Research.” Journal of Psychosomatic Research 37 (1): 19–32. https://doi.org/10.1016/0022-3999(93)90120-5.
  • Lo, H.-W. 2023. “A Data-Driven Decision Support System for Sustainable Supplier Evaluation in the Industry 5.0 Era: A Case Study for Medical Equipment Manufacturing.” Advanced Engineering Informatics 56, https://doi.org/10.1016/j.aei.2023.101998.
  • Longo, F., L. Nicoletti, and A. Padovano. 2017. “Smart Operators in Industry 4.0: A Human-Centered Approach to Enhance Operators’ Capabilities and Competencies Within the new Smart Factory Context.” Computers & Industrial Engineering 113: 144–159. https://doi.org/10.1016/j.cie.2017.09.016.
  • Longo, F., A. Padovano, and S. Umbrello. 2020. “Value-oriented and Ethical Technology Engineering in Industry 5.0: A Human-Centric Perspective for the Design of the Factory of the Future.” Applied Sciences 10 (12): 4182–4125. https://doi.org/10.3390/APP10124182.
  • Macal, C. M., and M. J. North. 2009. “Tutorial on Agent-Based Modelling and Simulation.” Journal of Simulation 4 (3): 151–162. https://doi.org/10.1057/jos.2010.3.
  • Maddikunta, P. K. R., Q. V. Pham, B. Prabadevi, N. Deepa, K. Dev, T. R. Gadekallu, R. Ruby, and M. Liyanage. 2021. “Industry 5.0: A Survey on Enabling Technologies and Potential Applications.” Journal of Industrial Information Integration 26, https://doi.org/10.1016/j.jii.2021.100257.
  • Maghazei, O., M. A. Lewis, and T. H. Netland. 2022. “Emerging Technologies and the use Case: A Multi-Year Study of Drone Adoption.” Journal of Operations Management 68 (6–7): 560–591. https://doi.org/10.1002/joom.1196.
  • Maltseva Reiby, K. 2020. “Wearables in the Workplace: The Brave new World of Employee Engagement.” Business Horizons 63, https://doi.org/10.1016/j.bushor.2020.03.007.
  • 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.
  • Martin, C., J. Cegarra, and P. Averty. 2011. “Analysis of Mental Workload During En-Route Air Traffic Control Task Execution Based on Eye-Tracking Technique.” In Engineering Psychology and Cognitive Ergonomics, edited by D. Harris, 592–597. Berlin, Heidelberg (Germany): Springer.
  • 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.
  • Meyer, C. B. 2001. “A Case in Case Study Methodology.” Field Methods 13 (4): 329–352. https://doi.org/10.1177/1525822X0101300402.
  • Mintzberg, H., D. Raisinghani, and A. Théorêt. 1976. “The Structure of “Unstructured” Decision Processes.” Administrative Science Quarterly 21 (2): 246–275. https://doi.org/10.2307/2392045.
  • Mo, F., F. M. Monetti, A. Torayev, H. U. Rehman, J. A. Mulet Alberola, N. Rea Minango, H. N. Nguyen, A. Maffei, and J. C. Chaplin. 2023. “A Maturity Model for the Autonomy of Manufacturing Systems.” The International Journal of Advanced Manufacturing Technology 126 (1): 405–428. https://doi.org/10.1007/s00170-023-10910-7.
  • Moencks, M., E. Roth, T. Bohné, D. Romero, and J. Stahre. 2022. “Augmented Workforce Canvas: A Management Tool for Guiding Human-Centric, Value-Driven Human-Technology Integration in Industry.” Computers & Industrial Engineering 163: 107803. https://doi.org/10.1016/j.cie.2021.107803.
  • Moya, A., L. Bastida, P. Aguirrezabal, M. Pantano, and P. Abril-Jiménez. 2023. “Augmented Reality for Supporting Workers in Human–Robot Collaboration.” Multimodal Technologies and Interaction 7 (4), https://doi.org/10.3390/mti7040040.
  • Müller, J. 2020. Enabling Technologies for Industry 5.0: Results of a Workshop with Europe’s Technology Leaders. Luxembourg (Luxembourg): Publications Office of the European Union.
  • Muñoz, A., X. Mahiques, J. E. Solanes, A. Martí, L. Gracia, and J. Tornero. 2019. “Mixed Reality-Based User Interface for Quality Control Inspection of car Body Surfaces.” Journal of Manufacturing Systems 53: 75–92. https://doi.org/10.1016/j.jmsy.2019.08.004.
  • Nahavandi, S. 2019. “Industry 5.0 – A Human-Centric Solution.” Sustainability 11 (16): Article 16. https://doi.org/10.3390/su11164371.
  • Nguyen Ngoc, H., G. Lasa, and I. Iriarte. 2022. “Human-centred Design in Industry 4.0: Case Study Review and Opportunities for Future Research.” Journal of Intelligent Manufacturing 33 (1): 35–76. https://doi.org/10.1007/s10845-021-01796-x.
  • Nourmohammadi, A., M. Fathi, and A. H. C. Ng. 2022. “Balancing and Scheduling Assembly Lines with Human-Robot Collaboration Tasks.” Computers & Operations Research 140: 105674. https://doi.org/10.1016/j.cor.2021.105674.
  • Object Management Group. 2023. Decision Model and Notation Specification. Milford, MA: Object Management Group. https://www.omg.org/spec/DMN/1.4/PDF.
  • Oldham, G. R., and A. Cummings. 1996. “Employee Creativity: Personal and Contextual Factors at Work.” Academy of Management Journal 39 (3): 607–634. https://doi.org/10.2307/256657.
  • Olhager, J., and A. Feldmann. 2022. “Linking Plant Roles and Operations Strategy Decision-Making Autonomy in International Manufacturing Networks.” International Journal of Production Research 60 (1): 242–255. https://doi.org/10.1080/00207543.2021.1991026.
  • Ordieres-Meré, J., M. Gutierrez, and J. Villalba-Díez. 2023. “Toward the Industry 5.0 Paradigm: Increasing Value Creation Through the Robust Integration of Humans and Machines.” Computers in Industry 150: 103947. https://doi.org/10.1016/j.compind.2023.103947.
  • Orso, V., R. Ziviani, G. Bacchiega, G. Bondani, A. Spagnolli, and L. Gamberini. 2022. “Employee-centric Innovation: Integrating Participatory Design and Video-Analysis to Foster the Transition to Industry 5.0.” Computers & Industrial Engineering 173: 108661. https://doi.org/10.1016/j.cie.2022.108661.
  • Panagou, S., W. P. Neumann, and F. Fruggiero. 2023. “A Scoping Review of Human Robot Interaction Research Towards Industry 5.0 Human-Centric Workplaces.” International Journal of Production Research, 1–17. https://doi.org/10.1080/00207543.2023.2172473.
  • Park, Y. W., and J. Shintaku. 2022. “Sustainable Human–Machine Collaborations in Digital Transformation Technologies Adoption: A Comparative Case Study of Japan and Germany.” Sustainability 14 (17): Article 17. https://doi.org/10.3390/su141710583.
  • Parker, S. K., and C. G. Collins. 2010. “Taking Stock: Integrating and Differentiating Multiple Proactive Behaviors.” Journal of Management 36 (3): 633–662. https://doi.org/10.1177/0149206308321554.
  • 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. https://doi.org/10.1037/0021-9010.91.3.636.
  • Passalacqua, M., R. Pellerin, P. Doyon-Poulin, L. Del-Aguila, J. Boasen, and P.-M. Léger. 2022. “Human-Centred AI in the Age of Industry 5.0: A Systematic Review Protocol.” HCI International 2022 – Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence: 24th International Conference on Human-Computer Interaction, HCII 2022, Virtual Event, June 26 – July 1, 2022, Proceedings, 483–492.
  • Passalacqua, M., R. Pellerin, F. Magnani, L. Joblot, E. Yahia, F. Rosin, and P.-M. Léger. 2023. L’origine de l’objectif est-elle importante? Effets motivationnels d’objectifs autodéfinis en production.
  • Pereira, A. C., A. C. Alves, and P. Arezes. 2023. “Augmented Reality in a Lean Workplace at Smart Factories: A Case Study.” Applied Sciences (Switzerland) 13 (16), https://doi.org/10.3390/app13169120.
  • Peruzzini, M., F. Grandi, and M. Pellicciari. 2017. “Benchmarking of Tools for User Experience Analysis in Industry 4.0.” Procedia Manufacturing 11: 806–813. https://doi.org/10.1016/j.promfg.2017.07.182.
  • Peruzzini, M., F. Grandi, and M. Pellicciari. 2020. “Exploring the Potential of Operator 4.0 Interface and Monitoring.” Computers & Industrial Engineering 139: 105600. https://doi.org/10.1016/j.cie.2018.12.047.
  • Pinzone, M., F. Albè, D. Orlandelli, I. Barletta, C. Berlin, B. Johansson, and M. Taisch. 2020. “A Framework for Operative and Social Sustainability Functionalities in Human-Centric Cyber-Physical Production Systems.” Computers & Industrial Engineering 139: 105132. https://doi.org/10.1016/j.cie.2018.03.028.
  • Piquet, A. 2009. Guide pratique du travail collaboratif: Théories, méthodes et outils au service de la collaboration. https://www.a-brest.net/IMG/pdf/Guide_pratique_du_travail_collaboratif.pdf.
  • Pittman, P. H., and J. B. Atwater. 2022. ASCM Supply Chain Dictionary, 17th Edition: Vol. Seventeenth edition. https://learn.ascm.org/apex/scormanywhere__SCORM_Player?FAqGV66Nj7RqVQmX7Q%2FQyfyTRwQfpbMavclgeCw9ORdUeifhwoVy%2FLhLIEz9U%2B2w%2BqsyzlVgMphlGtJbKdZZvQ%3D%3D.
  • Rahman, N. A., J. Muda, M. F. Mohammad, F. Ahmad, S. A. Rahim, and F. Mayor-Vitoria. 2019. “Digitalization and Leap Frogging Strategy Among the Supply Chain Member: Facing GIG Economy and Why Should Logistics Players Care?” International Journal of Supply Chain Management 8: 1042–1048. https://www.semanticscholar.org/paper/Digitalization-and-Leap-Frogging-Strategy-Among-the-Rahman-Muda/99b42269db1918186103bb742118604608ec8593.
  • Roblek, V., M. Meško, and A. Krapež. 2016. “A Complex View of Industry 4.0.” SAGE Open 6 (2): 2158244016653987. https://doi.org/10.1177/2158244016653987.
  • Rosin, F., P. Forget, S. Lamouri, and R. Pellerin. 2021. “Impact of Industry 4.0 on Decision-Making in an Operational Context.” Advances in Production Engineering & Management 16 (4): 500–514. https://doi.org/10.14743/apem2021.4.416.
  • Rosin, F., P. Forget, S. Lamouri, and R. Pellerin. 2022. “Enhancing the Decision-Making Process Through Industry 4.0 Technologies.” Sustainability 14 (1): Article 1. https://doi.org/10.3390/su14010461.
  • Rožanec, J. M., I. Novalija, P. Zajec, K. Kenda, H. Tavakoli Ghinani, S. Suh, E. Veliou, et al. 2022. “Human-centric Artificial Intelligence Architecture for Industry 5.0 Applications.” International Journal of Production Research 61 (0): 6847–6872. https://doi.org/10.1080/00207543.2022.2138611.
  • Ruiz Zúñiga, E., C. Barrera Diaz, A. Navarro, A. Ng, T. Hirose, and H. Nomoto. 2022. Reconfiguration Assessment for Production Volume Changes Using Discrete-Event Simulation: A Large-Size Highly-Customized Product Case Study.
  • Rüßmann, M., M. Lorenz, P. Gerbert, M. Waldner, J. Justus, P. Engel, and M. Harnisch. 2015. “Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries.” Boston Consult. Group 9: 54–89.
  • Saihi, A., M. Awad, and M. Ben-Daya. 2021. “Quality 4.0: Leveraging Industry 4.0 technologies to improve quality management practices – a systematic review.” International Journal of Quality & Reliability Management 40 (2): 628–650. https://doi.org/10.1108/IJQRM-09-2021-0305.
  • Schaufeli, W. B., A. B. Bakker, and M. Salanova. 2003. Utrecht Work Engagement Scale-9. Utrecht (Netherlands): Educational and Psychological Measurement.
  • Schramm, W. 1971. Notes on Case Studies of Instructional Media Projects. https://eric.ed.gov/?id=ed092145.
  • Schuh, G., T. Potente, R. Varandani, C. Hausberg, and B. Fränken. 2014. “Collaboration Moves Productivity to the Next Level.” Procedia CIRP 17: 3–8. https://doi.org/10.1016/j.procir.2014.02.037.
  • Simeone, A., R. Grant, W. Ye, and A. Caggiano. 2023. “A Human-Cyber-Physical System for Operator 5.0 Smart Risk Assessment.” The International Journal of Advanced Manufacturing Technology 129 (5–6): 2763–2782. https://doi.org/10.1007/s00170-023-12481-z.
  • Simon, H. A. 1960. The new Science of Management Decision. 1st ed., Vol. 3. New York : Harper & Brothers.
  • Sit, S. K. H., and C. K. M. Lee. 2023. “Design of a Digital Twin in Low-Volume, High-Mix Job Allocation and Scheduling for Achieving Mass Personalization.” Systems 11 (9), https://doi.org/10.3390/systems11090454.
  • Spreitzer, G. M. 1995. “Psychological Empowerment in the Workplace: Dimensions, Measurement, and Validation.” Academy of Management Journal 38 (5): 1442–1465. https://doi.org/10.2307/256865.
  • Sun, S., X. Zheng, B. Gong, J. García Paredes, and J. Ordieres-Meré. 2020. “Healthy Operator 4.0: A Human Cyber–Physical System Architecture for Smart Workplaces.” Sensors 20 (7): Article 7. https://doi.org/10.3390/s20072011.
  • Szajna, A., and M. Kostrzewski. 2022. “AR-AI Tools as a Response to High Employee Turnover and Shortages in Manufacturing During Regular, Pandemic, and War Times.” Sustainability 14 (11): Article 6729. https://doi.org/10.3390/su14116729.
  • Tao, W., Z.-H. Lai, M. C. Leu, Z. Yin, and R. Qin. 2019. “A Self-Aware and Active-Guiding Training & Assistant System for Worker-Centered Intelligent Manufacturing.” Manufacturing Letters 21: 45–49. https://doi.org/10.1016/j.mfglet.2019.08.003.
  • Ulutas, B. H., N. F. ��zkan, and R. Michalski. 2020. “Application of Hidden Markov Models to eye Tracking Data Analysis of Visual Quality Inspection Operations.” Central European Journal of Operations Research 28 (2): 761–777. https://doi.org/10.1007/s10100-019-00628-x.
  • Uva, A. E., M. Gattullo, V. M. Manghisi, D. Spagnulo, G. L. Cascella, and M. Fiorentino. 2018. “Evaluating the Effectiveness of Spatial Augmented Reality in Smart Manufacturing: A Solution for Manual Working Stations.” The International Journal of Advanced Manufacturing Technology 94 (1): 509–521. https://doi.org/10.1007/s00170-017-0846-4.
  • van Oudenhoven, B., P. Van de Calseyde, R. Basten, and E. Demerouti. 2022. “Predictive Maintenance for Industry 5.0: Behavioural Inquiries from a Work System Perspective.” International Journal of Production Research 61 (22): 7846–7865. https://doi.org/10.1080/00207543.2022.2154403.
  • Verrier, G., and N. Bourgeois. 2016. Faut-il libérer l’entreprise?: Confiance, responsabilité et autonomie au travail. Malakoff (France): Dunod.
  • Xu, L. D., E. L. Xu, and L. Li. 2018. “Industry 4.0: State of the Art and Future Trends.” International Journal of Production Research 56 (8): 2941–2962. https://doi.org/10.1080/00207543.2018.1444806.
  • Yin, R. K. 1981a. “The Case Study as a Serious Research Strategy.” Knowledge 3 (1): 97–114. https://doi.org/10.1177/107554708100300106.
  • Yin, R. K. 1981b. “The Case Study Crisis: Some Answers.” Administrative Science Quarterly 26 (1): 58–65. https://doi.org/10.2307/2392599.
  • Yin, R. K. 2018. Case Study Research and Applications: Design and Methods. Sixth edition. Thousand Oaks, CA: SAGE.
  • Zeisel, S. 2020. “A Framework and Use Cases for Big Data in Procurement.” International Journal of Procurement Management 13 (6): 775–793. https://doi.org/10.1504/IJPM.2020.111346.
  • Zheng, T., C. H. Glock, and E. H. Grosse. 2022. “Opportunities for Using Eye Tracking Technology in Manufacturing and Logistics: Systematic Literature Review and Research Agenda.” Computers & Industrial Engineering 171: 108444. https://doi.org/10.1016/j.cie.2022.108444.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.