Automation and Robotics Pilot Lines in the Context of Industry 5.0
Source abstract
Abstract
Pilot lines have become a key element in modern industry. The demands for resilience, human-centricity, and sustainability in Industry 5.0, combined with technological innovations, highlight the critical role of these lines in the new industrial paradigm. Pilot lines facilitate the validation of processes and the reduction in uncertainties, making them essential tools for future industries. This article examines the current state of pilot lines and evaluates their alignment with Industry 5.0 principles. As part of this analysis, the GAMHE 5.0 pilot line is presented as a line designed with a focus on automation and robotics, meeting the requirements of the industries of the future. This article also details a series of case studies conducted on the pilot line, demonstrating its flexibility and adaptability. Finally, the advantages and disadvantages of small-scale lines are analyzed within the context of Industry 5.0, emphasizing their importance in balancing technology, human factors, and sustainability.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Digital Transformation in Industry · Flexible and Reconfigurable Manufacturing Systems · Manufacturing Process and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Centro de Automática y Robótica, CSIC-Universidad Politécnica de Madrid, 28500 Madrid, Spain
ICT & Robotics, R2M Solution s.r.l., 27100 Pavia, Italy
Funding
Digitalization of Power Electronic Applications within Key Technology Value Chains (PowerizeD) · European Union HORIZON FP and Chips JU · European Union NextGenerationEU/PRTR · Self-reconfiguration for Industrial Cyber–Physical Systems based on Digital Twins and artificial intelligence. Methods and application in Industry 4.0 pilot line · MICIU and NextGenerationEU/PRTR · iGENZERO
References (54)
Show source-provided references
1. Application of industry 4.0 technologies in SMEs for ethical and sustainable operations: Analysis of challenges10.1016/j.jclepro.2020.124063 ↗
2. Zeid, A., Sundaram, S., Moghaddam, M., Kamarthi, S., and Marion, T. (2019). Interoperability in smart manufacturing: Research challenges. Machines, 7.10.3390/machines7020021 ↗
3. Industry 4.010.1007/s12599-014-0334-4 ↗
4. The evolution of production systems from Industry 2.0 through Industry 4.010.1080/00207543.2017.1403664 ↗
5. Industry 5.0: Prospect and retrospect10.1016/j.jmsy.2022.09.017 ↗
6. Breque, M., De Nul, L., and Petridis, A. (2021). Industry 5.0: Towards a Sustainable, Human-Centric and Resilient European Industry, European Commission, Directorate-General for Research and Innovation.
7. Gregoire, C. (2017). Understanding and Increasing Right First Time (RFT) Performance in a Production Environment: A Case Study. [Ph.D. Thesis, Kansas State University].
8. Principles of lean thinking
9. Zero defect manufacturing: State-of-the-art review, shortcomings and future directions in research10.1080/00207543.2019.1605228 ↗
10. Liu, J., Jiang, X., Shi, M., and Yang, Y. (2024). Impact of artificial intelligence on manufacturing industry global value chain position. Sustainability, 16.10.3390/su16031341 ↗
11. Technology readiness levels
12. Reconfigurable pilot lines enabling industry digitalization: An approach for transforming industry and academia needs to requirements specifications10.1016/j.procir.2022.05.136 ↗
13. Saffaro, F.A., Trescastro, M.G., Rodriguez, A., Schramm, F., Formoso, C., and Heineck, L. (2006). Prototyping contributions for production management in construction. Proceedings of the 14th Annual Conference of the International Group for Lean Construction, Santiago, Chile, 25--27 July 2006, International Group for Lean Construction.
14. Context related information provision in Industry 4.0 environments10.1016/j.promfg.2017.07.181 ↗
15. Kletti, J., and Schumacher, J. (2011). Die Perfekte Produktion, Springer.10.1007/978-3-642-13845-4 ↗
16. Kakavandi, F., Gomes, C., de Reus, R., Badstue, J., Jensen, J.L., Larsen, P.G., and Iosifidis, A. (2023). Towards developing a digital twin for a manufacturing pilot line: An industrial case study. Digital Twin Driven Intelligent Systems and Emerging Metaverse, Springer.10.1007/978-981-99-0252-1_2 ↗
17. Cloud-based industrial cyber–physical system for data-driven reasoning: A review and use case on an industry 4.0 pilot line10.1109/TII.2020.2971057 ↗
18. EUV mask pilot line at Intel Corporation10.1117/12.569176 ↗
19. EUV mask defect inspection and defect review strategies for EUV pilot line and high volume manufacturing
20. Messina, A.A., Imbruglia, A., Calabretta, M., Vinciguerra, V., Moise, C.C., Sitta, A., Enachescu, M., and Roccaforte, F. (2020, January 23–25). The “first and euRopEAn siC eighT Inches pilOt liNe”: A project, called REACTION, that will boost key SiC Technologies upgrading (developments) in Europe, unleashing Applications in the Automotive Power Electronics Sector. Proceedings of the 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), Catania, Italy.10.23919/AEITAUTOMOTIVE50086.2020.9307385 ↗
21. Research Progress on Key Technologies of Microelectronics for Industry 4.010.54097/ajst.v2i3.1434 ↗
22. Preising, H., Gutmann, D., and Wolf, M. (2024, January 9–12). Application of Logistics Simulations for Scaling Up a Semiconductor Pilot Line: A Case Study. Proceedings of the Conference on Production Systems and Logistics 2024, Honolulu, HI, USA. Available online: https://repo.uni-hannover.de/items/6b6dfc6a-18d6-4868-8592-494c52929b98.
23. Implementing of a pilot line of clothing industry under the philosophy lean manufacturing
24. Contributions of lean six sigma to sustainable manufacturing requirements: An Industry 4.0 perspective10.1016/j.procir.2020.02.044 ↗
25. A framework for pilot line scale-up using digital manufacturing10.1016/j.procir.2019.03.235 ↗
26. Scale-up of pilot line battery cell manufacturing life cycle inventory models for life cycle assessment10.1016/j.procir.2020.12.002 ↗
27. Raffaeli, R., Pazzi, L., and Pellicciari, M. (2024). Industry 4.0 Solutions as Enablers for the Sustainability of the Italian Ceramic Tiles Sector. Sustainability, 16.10.3390/su16104301 ↗
28. R&D pilot line production of multi-crystalline Si solar cells exceeding cell efficiencies of 18%10.1016/j.egypro.2011.06.142 ↗
29. Low-temperature amorphous-silicon backplane technology development for flexible displays in a manufacturing pilot-line environment10.1889/1.2759549 ↗
30. Singh, M., Srivastava, R., Lee, S., Murray, N., Qiao, Y., and Devine, D. (2021, January 7–8). Digital Twin of Polymer Processing Pilot Line. Proceedings of the 37th International Manufacturing Conference by Irish Manufacturing Council, Athlone, Ireland.
31. The ESA project PIOTS: Setting up a complete pilot line for the packaging of photonic integrated circuits for space applications
32. Preliminary investigation of Industry 4.0 readiness among small and medium aviation companies in Malaysia
33. Wögerer, C., Bauer, H., Rooker, M., Ebenhofer, G., Rovetta, A., Robertson, N., and Pichler, A. (2012, January 3–5). LOCOBOT-low cost toolkit for building robot co-workers in assembly lines. Proceedings of the Intelligent Robotics and Applications: 5th International Conference, ICIRA 2012, Montreal, QC, Canada. Proceedings, Part II 5.10.1007/978-3-642-33515-0_45 ↗
34. Sidorenko, A., Motsch, W., van Bekkum, M., Nikolakis, N., Alexopoulos, K., and Wagner, A. (2023). The MAS4AI framework for human-centered agile and smart manufacturing. Front. Artif. Intell., 6.10.3389/frai.2023.1241522 ↗
35. Caccamo, C., Eleftheriadis, R., Magnanini, M.C., Powell, D., and Myklebust, O. (2021, January 5–9). A hybrid architecture for the deployment of a data quality management (DQM) system for zero-defect manufacturing in industry 4.0. Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Conference, APMS 2021, Nantes, France. Proceedings, Part III.10.1007/978-3-030-85906-0_8 ↗
36. Nolan, A. (2018). Artificial intelligence and the technologies of the Next Production Revolution. OECD Science, Technology and Innovation Outlook 2018, Organisation for Economic Co-operation and Development.
37. Alvarez-Napagao, S., Ashmore, B., Barroso, M., Barrué, C., Beecks, C., Berns, F., Bosi, I., Chala, S.A., Ciulli, N., and Garcia-Gasulla, M. (2021, January 21–23). Knowledge project–concept, methodology and innovations for artificial intelligence in industry 4.0. Proceedings of the 2021 IEEE 19th International Conference on Industrial Informatics (INDIN), Palma de Mallorca, Spain.10.1109/INDIN45523.2021.9557410 ↗
38. Open-Digital-Industrial and Networking pilot lines using modular components for scalable production–ODIN project approach10.1016/j.procir.2022.02.172 ↗
39. Quality control of white goods parts using robotic technologies10.1016/j.procir.2021.11.296 ↗
40. Pöysäri, S., Kaarlela, T., Dianatfar, M., and Lanz, M. (2023, January 9–11). Educational teleoperation platform for heavy industrial robotics as a learning environment. Proceedings of the 13th Conference on Learning Factories (CLF 2023), Reutlingen, Germany.10.2139/ssrn.4489360 ↗
41. Dianatfar, M., Heshmatisafa, S., Latokartano, J., and Lanz, M. (2022, January 19–23). Feasibility analysis of safety training in human-robot collaboration scenario: Virtual reality use case. Proceedings of the International Conference on Flexible Automation and Intelligent Manufacturing, Detroit, MI, USA.10.1007/978-3-031-18326-3_25 ↗
42. Lanz, M., Latokartano, J., Järvenpää, E., Pöysäri, S., Dianatfar, M., Siltala, N., Salminen, K., Hilman, L., Siivonen, J., and Aho, M. (2024). Development and deployment of services based on D-BEST methodology for robotics and production automation related pilot lines. AIP Conference Proceedings, AIP Publishing.10.1063/5.0195637 ↗
43. Gyulai, T., Viharos, Z.J., Kása, F., and Wolf, P. (2023, January 9–11). Upskilling SME Workforce by Learning Factories. Proceedings of the 13th Conference on Learning Factories (CLF 2023), Reutlingen, Germany.10.2139/ssrn.4469802 ↗
44. Butter, M., Fischer, N., Gijsbers, G., de Heide, M., and Hartmann, C. (2014). Horizon 2020: Key Enabling Technologies (KETs), Booster for European Leadership in the Manufacturing Sector, Publications Office of the European Union.
45. Design and validation of a knee exoskeleton prototype for squatting operations10.7763/IJET.2024.V16.1268 ↗
46. Design of a Reconfigurable Mobile Collaborative Manipulator for Industrial Applications10.1115/1.4062595 ↗
47. Masoero, L., and Moreta Maldonado, C.M. (2019). Proposal for the Implementation of a Lean 4.0 Teaching Factory Inside the New MADE Competence Center of the Politecnico di Milano, POLITesi, Politecnico di Milano.
48. Implementation of Italian industry 4.0 quantum testbed in Turin10.1049/qtc2.12074 ↗
49. Dianatfar, M., Pöysäri, S., Latokartano, J., Siltala, N., and Lanz, M. (2024). Virtual reality-based safety training in human-robot collaboration scenario: User experiences testing. AIP Conference Proceedings, AIP Publishing.10.1063/5.0189614 ↗
50. Pilot production environments driven by digital twins
51. Digital twin-based optimization for ultraprecision motion systems with backlash and friction10.1109/ACCESS.2019.2928141 ↗
52. Human-Centric Approach for the Digital Twin of Human-Machine/Robot Collaboration in an Industry 5.0 Pilot Line
53. Cruz, Y.J., Castaño, F., Haber, R.E., Villalonga, A., Ejsmont, K., Gladysz, B., Flores, Á., and Alemany, P. (2024). Self-Reconfiguration for Smart Manufacturing Based on Artificial Intelligence: A Review and Case Study. Artificial Intelligence in Manufacturing: Enabling Intelligent, Flexible and Cost-Effective Production Through AI, Springer.10.1007/978-3-031-46452-2_8 ↗
54. Villalonga, A., Cruz, Y.J., Alfaro, D., Haber, R.E., Martínez-Lastra, J.L., and Castaño, F. (2024, January 6–8). Enhancing Quality Inspection in Zero-Defect Manufacturing Through Robotic-Machine Collaboration. Proceedings of the 2024 7th Iberian Robotics Conference (ROBOT), Madrid, Spain.10.1109/ROBOT61475.2024.10797427 ↗