Tytuł artykułu
Treść / Zawartość
Pełne teksty:
Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The fourth industrial revolution (4IR) means the ubiquitous digitization of economic processes using more economical and efficient production technologies. Orientation to productivity, flexibility and low production costs results in a slow process of dehumanization of industry and concentration only on implementing Industry 4.0 (I4.0) digital technologies. A natural consequence of this trend is the concern of governments, employees and communities about new challenges and the importance of man in the economic ecosystem. The hope is the emergence of a new industry concept suggested by the European Commission (EU), which expands the components of the existing I4.0 concept to include human-centric, environmental and resilience aspects. Industry 5.0 (I5.0) is an excellent alternative to the development of today's digital and dehumanized world. The article aims to identify the key research areas related to the formation of the role of the human being and the safe work environment in implementing the I5.0 concept. The article analyzes the research areas related to implementing the I5.0 concept based on a systematic review of the literature indexed in the Web of Science and Scopus databases. Identifies key issues related to the role of humans in the I5.0 environment. In addition, the priority directions for developing the identified research areas and their impact on forming a safe work environment are determined based on the knowledge of experts with experience in implementing digital technologies of the 4IR.
Czasopismo
Rocznik
Tom
Strony
94--104
Opis fizyczny
Bibliogr. 68 poz,. rys., tab.
Twórcy
autor
- Department of Engineering Management and Logistic Systems, University of Zielona Góra, Podgórna 50, 65-246 Zielona Góra, Poland
autor
- Department of Production Engineering, Silesian University of Technology, Krasińskiego 8, 40-019 Katowice, Poland
autor
- University of Moratuwa, Bandaranayake Mawatha, Moratuwa 10400, Sri Lanka
Bibliografia
- 1. Aceto, G., Persico, V., Pescapé, A., 2019. A survey on information and communication technologies for industry 4.0: State-of-the-art, taxonomies, perspectives, and challenges. IEEE Communications Surveys & Tutorials, 21(4), 3467-3501.
- 2. Adepoju, O., O., Aigbavboa, C., O., 2021. Assessing knowledge and skills gap for construction 4.0 in a developing economy. Journal of Public Affairs, 21(3), e2264
- 3. Ahrens, D., Spöttl, G., 2015. Industrie 4.0 und Herausforderungen für die Qualifizierung von Fachkräften. In Digitalisierung industrieller Arbeit. Nomos Verlagsgesellschaft mbH & Co. KG.
- 4. Amor, A., M., 2023. Reinventing Human Resources Through Digitalization. In Managing Technology Integration for Human Resources in Industry 5.0, IGI Global.
- 5. Ávila-Gutiérrez, M., J., Suarez-Fernandez De Miranda, S., Aguayo-González, F., 2022. Occupational Safety and Health 5.0—A Model for Multilevel Strategic Deployment Aligned with the Sustainable Development Goals of Agenda 2030. Sustainability 14, 6741. DOI: 10.3390/su14116741
- 6. Azeem, M., Haleem, A., Javaid, M., 2022. Symbiotic relationship between machine learning and Industry 4.0: A review. Journal of Industrial Integration and Management, 7(03), 401-433. DOI: 10.1142/S242486 2221300027
- 7. Baldissone, G., Comberti, L., Fargione, P., Maida, L., Nebbia, R., 2018. The role of basic and applied research activities for the improvement of OS&H conditions and the dissemination of the Culture of Safety. Geam Geoingegneria Ambientale E Mineraria-Geam-Geoengineering Environment and Mining, 154, 32-41.
- 8. Barata, J., Kayser, I., 2023. Industry 5.0–Past, Present, and Near Future. Procedia Computer Science, 219, 778-788.
- 9. Barata, J., Kayser, I., 2023. Industry 5.0–Past, Present, and Near Future. Procedia Computer Science, 219, 778-788.
- 10. Bilberg, A., Malik, A., A., 2019. Digital twin driven human–robot collaborative assembly. CIRP annals, 68(1), 499-502.
- 11. Brauner, P., Ziefle, M. 2022. Beyond playful learning–Serious games for the human-centric digital transformation of production and a design process model. Technology in Society, 71, 102140.
- 12. Breque, M., De Nul, L., Petridis, A., 2022. Industry 5.0 Towards a Sustainable, Human Centric and Resilient European Industry; p. 14. European Commission, Brussels,
- 13. Campero-Jurado, I., Márquez-Sánchez, S., Quintanar-Gómez, J., Rodríguez, S., Corchado, J. M., 2020. Smart helmet 5.0 for industrial internet of things using artificial intelligence. Sensors, 20(21), 6241.
- 14. Chen, X., Eder, M. A., Shihavuddin, A., S., M., 2020. A concept for humancyber-physical systems of future wind turbines towards Industry 5.0. Manuscript submitted for publication.
- 15. Chiabert, P., D'Antonio, G., Maida, L., 2018. Industry 4.0: technologies and OS&H implications. Geam-Geoingegneria Ambientale E Mineraria Geam-Geoengineering Environment and Mining, (154)
- 16. Colim, A., Carneiro, P., Carvalho, J. D., Teixeira, S., 2022. Occupational safety & ergonomics training of future industrial engineers: A projectbased learning approach. Procedia Computer Science, 204, 50
- 17. Demir, K. A., Döven, G., Sezen, B., 2019. Industry 5.0 and human-robot coworking. Procedia computer science, 158, 688-695.
- 18. EC European Commission, 2021. Revision of the Renewable Energy Directive: Fit for 55 package. Available online: https://www.europarl.europa.eu/RegData/etudes/BRIE/2021/698781/EPRS_BRI(2021)698781_EN.pdf (accessed on 27 March 2023).
- 19. EC, European Commission, 2022. Industry 5.0. Towards a Sustainable, Humancentric and Resilient European Industry. Available online: https://op.europa.eu/en/publication-detail/-/publication/468a892a-5097- 11eb-b59f-01aa75ed71a1/ (accessed on March 27 2023).
- 20. Ejdys, J., 2017. Determinanty zaufania do technologii, Przegląd organizacji, 12 (935, 20-27.
- 21. Friedman, B., Hendry, D., G., 2019. Value sensitive design: Shaping technology with moral imagination. Mit Press
- 22. Graczyk-Kucharska, M., Szafranski, M., Golinski, M., Spychala, M., Borsekova, K., 2018. Model of competency management in the network of production enterprises in industry 4.0—Assumptions. In Advances in Manufacturing. Springer International Publishing.
- 23. Jones, A. T., Romero, D., Wuest, T., 2018. Modeling agents as joint cognitive systems in smart manufacturing systems. Manufacturing Letters, 17, 6-8.
- 24. Kazancoglu, Y., Ozkan-Ozen, Y. D., 2018. Analysing Workforce 4.0 in the Fourth Industrial Revolution and proposing a road map from operations management perspective with fuzzy DEMATEL. Journal of enterprise information management.
- 25. Lasi, H., Fettke, P., Kemper, H., G., Feld, T., Hoffmann, M., 2014. Industrie 4.0. Wirtschaftsinformatik, 56, 261-264. DOI: 10.1007/s11576-014- 0424-4
- 26. Laurent, A., 2023. Towards Process Safety 4.0 in the Factory of the Future. John Wiley & Sons.
- 27. Lee, J., J., Meng, J., 2021. Digital competencies in communication management: A conceptual framework of Readiness for Industry 4.0 for communication professionals in the workplace. Journal of Communication Management, 25(4), 417-436.
- 28. Lemos, J., Gaspar, P., D., Lima, T., M., 2022. Environmental risk assessment and management in industry 4.0: a review of technologies and trends. Machines, 10(8), 702.
- 29. Li, G., Yuan, C., Kamarthi, S., Moghaddam, M., Jin, X., 2021. Data science skills and domain knowledge requirements in the manufacturing industry: A gap analysis. Journal of Manufacturing Systems, 60, 692-706.
- 30. Lippert, S., K., 2001. An exploratory study into the relevance of trust in the context of information systems technology. The George Washington University
- 31. Longo, F., Padovano, A., Umbrello, S., 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.
- 32. Lopez, M., A., Terron, S., Lombardo, J., M., Gonzalez-Crespo, R., 2021. Towards a solution to create, test and publish mixed reality experiences for occupational safety and health learning: Training-MR.
- 33. Luthra, S., Mangla, S., K., 2018. Evaluating challenges to Industry 4.0 initiatives for supply chain sustainability in emerging economies. Process Safety and Environmental Protection, 117, 168-179.
- 34. Maddikunta, P., K., R., Pham, Q., V., Prabadevi, B., Deepa, N., Dev, K., Gadekallu, T. R., Liyanage, M., 2022. Industry 5.0: A survey on enabling technologies and potential applications. Journal of Industrial Information Integration, 26, 100257. DOI: 10.1016/j.jii.2021.100257
- 35. Małysa, T., 2022. Application of Forecasting as an Element of Effective Management in the Field of Improving Occupational Health and Safety in the Steel Industry in Poland. Sustainability, 14(3), 1351.
- 36. Martynov, V., V., Shavaleeva, D., N., Zaytseva, A., A., 2019. Information technology as the basis for transformation into a digital society and industry 5.0. In 2019 International Conference "Quality Management, Transport and Information Security, Information Technologies"(IT&QM&IS) 539-543, IEEE.
- 37. Matheson, E., Minto, R., Zampieri, E., G., Faccio, M., Rosati, G., 2019. Human–robot collaboration in manufacturing applications: A review. Robotics, 8(4), 100. DOI: 10.3390/robotics8040100
- 38. Melnyk, L., Kubatko, O., Matsenko, O., Balatskyi, Y., Serdyukov, K., 2023. Transformation of the human capital reproduction in line with Industries 4.0 and 5.0.
- 39. Mohelska, H., Sokolova, M., 2018. Management approaches for Industry 4.0– the organisational culture perspective. Technological and economic development of economy, 24(6), 2225-22
- 40. Nahavandi, S., 2019. Industry 5.0-A Human-Centric Solution. Sustainability, 11, 4371. DOI: 10.3390/su11164371
- 41. Neumann, E. M., Vogel-Heuser, B., Haben, F., Krüger, M., Wieringa, T., 2022. Introduction of an Assistance System to Support Domain Experts in Programming Low-code to Leverage Industry 5.0. IEEE Robotics and Automation Letters, 7(4), 10422-10429.
- 42. Nickel, P., 2023. Human Factors in Interface Design of Electronic Control Systems for Mechanical Equipment in Stage and Studio Automation. In International Conference on Human-Computer Interaction, 184-193. Cham: Springer Nature Switzerland
- 43. Pan, Y., 2016. Heading toward artificial intelligence 2.0. Engineering, 2(4), 409-413.
- 44. Pfeiffer, S., Lee, H. S., Zirnig, C., Suphan, A., 2016. Industrie 4.0: Qualifizierung 2025. Frankfurt am Main: VDMA.
- 45. Pillai, S., G., Haldorai, K., Seo, W., S., Kim, W., G., 2021. COVID-19 and hospitality 5.0: Redefining hospitality operations. International Journal of Hospitality Management, 94, 102869.
- 46. Pistolesi, F., Lazzerini, B., 2020. Assessing the risk of low back pain and injury via inertial and barometric sensors. ieee transactions on industrial informatics, 16(11), 7199-7208.
- 47. Prassida, G., F., Asfari, U., 2022. A conceptual model for the acceptance of collaborative robots in industry 5.0. Procedia Computer Science, 197, 61- 67.
- 48. Rada, M., 2020. Industry 5.0 definition. Available online: https://michaelrada.medium.com/industry-5-0-definition-6a2f9922dc48 (accessed on March 27 2023).
- 49. Ramos, D., Cotrim, T., Arezes, P., Baptista, J., Rodrigues, M., Leitão, J., 2022. Frontiers in occupational health and safety management. International journal of environmental research and public health, 19(17), 10759.
- 50. Rojko, K., Erman, N., Jelovac, D., 2020. Impacts of the Transformation to Industry 4.0 in the Manufacturing Sector: The Case of the US. Organizacija, 53(4), 287-305.
- 51. Romero, D., Stahre, J., 2021. Towards the resilient operator 5.0: the future of work in smart resilient manufacturing systems. Procedia CIRP, 104, 1089-1094. DOI: 10.1016/j.procir.2021.11.183.
- 52. Saniuk, S., Grabowska, S., 2022a. Development of Knowledge and Skills of Engineers and Managers in the era of Industry 5.0 in the light of expert research. Scientific Papers of Silesian University of Technology, 158, DOI:10.29119/1641-3466.2022.158.35
- 53. Saniuk, S., Grabowska, S., Grebski, W., 2022b. Knowledge and Skills Development in the Context of the Fourth Industrial Revolution Technologies: Interviews of Experts from Pennsylvania State of the USA. Energies, 15(7), 2677.
- 54. Santos, G., Sá, J.C., Félix, M., J., Barreto, L., Carvalho, F., Doiro, M., Zgodavová, K., Stefanović, M., 2021. New Needed Quality Management Skills for Quality Managers 4.0. Sustainability 13, 6149. DOI: 10.3390/su13116149.
- 55. Schneider, P. 2018. Managerial challenges of Industry 4.0: an empirically backed research agenda for a nascent field. Review of Managerial Science, 12(3), 803-848.
- 56. Shamim, S., Cang, S., Yu, H., Li, Y., 2016. Management approaches for Industry 4.0: A human resource management perspective. In 2016 IEEE congress on evolutionary computation (CEC) (pp. 5309-5316). IEEE.
- 57. Sheridan, T., B., 2016. Human–robot interaction: status and challenges. Human factors, 58(4), 525-532
- 58. Simonetto, M., Arena, S., Peron, M., 2022. A methodological framework to integrate motion capture system and virtual reality for assembly system 4.0 workplace design. Safety Science, 146, 105561.
- 59. Sony, M., Mekoth, N., 2022. Employee adaptability skills for Industry 4.0 success: a road map. Production & Manufacturing Research, 10(1), 24- 41.
- 60. Sun, S., Zheng, X., Villalba-Díez, J., Ordieres-Meré, J., 2019. Indoor air-quality data-monitoring system: Long-term monitoring benefits. Sensors, 19(19), 4157.
- 61. Vogl, G., W., Weiss, B., A., Helu, M., 2019. A review of diagnostic and prognostic capabilities and best practices for manufacturing. Journal of Intelligent Manufacturing, 30, 79-95.
- 62. Voulgaridis, K., Lagkas, T., Sarigiannidis, P., 2022. Towards Industry 5.0 and Digital Circular Economy: Current Research and Application Trends. In 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), 153-158. IEEE. DOI: 10.1109/DCOSS54816. 2022.00037
- 63. Wang, B., Zhou, H., Yang, G., Li, X., Yang, H., 2022. Human Digital Twin (HDT) driven human-cyber-physical systems: key technologies and applications. Chinese Journal of Mechanical Engineering, 35(1), 11. DOI: 10.1186/s10033-022-00680-w
- 64. Xu, L., D., 2020. Industry 4.0—Frontiers of fourth industrial revolution. Systems Research and Behavioral Science, 37(4), 531-534. DOI: 10.1002/sres.2719
- 65. Xu, L., D., Xu, E., L., Li, L., 2018. Industry 4.0: state of the art and future trends. International journal of production research, 56(8), 2941-2962.
- 66. Zhong, R., Y., Xu, X., Klotz, E., Newman, S., T., 2017. Intelligent manufacturing in the context of industry 4.0: a review. Engineering, 3(5), 616- 630.
- 67. Zhou, H., Yang, G., Lv, H., Huang, X., Yang, H., Pang, Z., 2019. IoT-enabled dual-arm motion capture and mapping for telerobotics in home care. IEEE journal of biomedical and health informatics, 24(6), 1541- 1549.
- 68. Zhou, J., Zhou, Y., Wang, B., Zang, J., 2019. Human–cyber–physical systems (HCPSs) in the context of new-generation intelligent manufacturing. Engineering, 5(4), 624-636. DOI: 10.1016/j.eng.2019.07
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5f14303b-d04d-4e79-885d-ef8efceb5bfe