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2023 | 14 | nr 3 | 3--15
Tytuł artykułu

A Concept of an SME Focused Edge Computing Self-Managing Cyber-Physical System

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The dynamically changing environment forces companies to introduce changes in production processes and the need for employees to adapt quickly to new tasks. Therefore, it is expected to implement solutions to support employees. The system that will manage the work on a manufacturing line should work in real time to support the ongoing activities and, to be implemented in SMEs, must not be expensive. The authors identified important system components and expected functionalities. The methodology of the work is based on humancentered design. A concept of a cyber-physical system is proposed. The aim of the proposed edge computing-based system is to manage the work on the manufacturing line in which certain elements communicate with each other to achieve common goals. The paper presents what the system can consist of, how information and knowledge are managed in the system, and what can be the benefits for enterprises from its implementation. (original abstract)
Rocznik
Tom
14
Numer
Strony
3--15
Opis fizyczny
Twórcy
  • Rzeszow University of Technology, Poland
autor
  • Marche Polytechnic University, Italy
autor
  • Marche Polytechnic University, Italy
  • Marche Polytechnic University, Italy
autor
  • Rzeszow University of Technology, Poland
Bibliografia
  • Bonci, A., Cen Cheng, P.D., Indri, M., Nabissi, G., Sibona, G. (2021a). Human-Robot Perception in Industrial Environments: A Survey. Sensors MDPI, 21(5), 1-29.
  • Bonci, A., Fiori, S., Higashi, H., Tanaka, T., Verdini, F. (2021b). An introductory tutorial on brain-computer interfaces and their applications. Electronics (Switzerland), 10(5), art. no. 560, 1-43.
  • Bonci, A., Longhi, S., Pirani, M. (2019). RMAS Architecture for Autonomic Computing in Cyber-Physical Systems. Institute of Electrical and Electronics Engineers (IEEE), 2996-3003. DOI: 10.1109/iecon.2019.8926991.
  • Burns, T., Cosgrove, J., Doyle, F. (2019). A Review of Interoperability Standards for Industry 4.0. Procedia Manufacturing, 38, 646-653.
  • Carvalho, A., O' Mahony, N., Krpalkova, L., Campbell, S., Walsh, J., Doody, P. (2019). At the edge of industry 4.0. Procedia Computer Science. Elsevier B.V., 276-281. DOI: 10.1016/j.procs.2019.08.039.
  • Derigent, W., Cardin, O., Trentesaux, D. (2020). Industry 4.0: contributions of holonic manufacturing control architectures and future challenges. Journal of Intelligent Manufacturing, 32. DOI: 10.1007/s10845-020-01532-x.
  • Dotoli, M., Fay, A., Miskowicz, M., Seatzu, C., (2019). An overview of current technologies and emerging trends in factory automation. International Journal of Production Research, 57(15-16). DOI: 10.1080/00207543.2018.1510558.
  • El Abbadi L., El Manti S., Elrhanimi S. (2018). Kanban System for Industry 4.0 Environment. International Journal of Engineering & Technology 7(4), 60-65.
  • Huang S., Guo Y., Zha S., Wang F., Fang W. (2017). A Real-time Location System Based on RFID and UWB for Digital Manufacturing Workshop. Procedia CIRP. Elsevier B.V., 132-137. DOI: 10.1016/j.procir.2017.03.085.
  • ISO 9241-210:2019 (2019). Ergonomics of human-system interaction - Part 210: Human-centred design for interactive systems. International Standard Organization.
  • Jin-Hai, Li, Anderson, A.R., Harrison, R.T. (2003). The evolution of agile manufacturing. Business Process Management Journal, 9, 170-189. DOI: 10.1108/14637150310468380.
  • Kim, W., Lorenzini, M., Balatti, P., Nguyen, P.D.H., Pattacini, U., Tikhanoff, V., Peternel, L., Fantacci, C., Natale, L. Metta, G., Ajoudani, A. (2019). Adaptable Workstations for Human-Robot Collaboration: A Reconfigurable Framework for Improving Worker Ergonomics and Productivity. IEEE Robotics and Automation Magazine, 26, 14-26. DOI: 10.1109/MRA.2018.2890460.
  • Khadiri, H., Sekkat, S., Herrou, B. (2022). An Intelligent Method for the Scheduling of Cyber Physical Production Systems. Management and Production Engineering Review, 13(1), 44-51. DOI: 10.24425/mper.2022.140875.
  • Kubiak, K, Dec, G., Stadnicka, D. (2022). Possible Applications of Edge Computing in the Manufacturing Industry - Systematic Literature Review. Sensors, 22(7), 2445. DOI: 10.3390/s22072445.
  • Kulshrestha, T., Saxena, D., Niyogi, R., Raychoudhury, V., Misra, M. (2017). SmartITS: Smartphone- based identification and tracking using seamless indoor-outdoor localization. Journal of Network Computer Application, 98, 97-113. DOI: 10.1016/j.jnca.2017.09.003.
  • Li, T., Qin, W., Zhang, J., Li, H., Xu, Z., Xiao, H. (2014). Research and Application of Visualized Real-Time Monitoring System for Complex Product Manufacturing Process. Key Engineering Material, 579-580 (787-791). DOI: 10.4028/www.scientific.net/KEM. 579-580.787.
  • Lin, Y.C., Chen, T. (2017). A ubiquitous manufacturing network system. Robotics and Computer Integrated Manufacturing, 45, 157-167. DOI: 10.1016/j.rcim.2015.10.009.
  • MacKerron, G., Kumar, M., Kumar, V. (2014). A Case Study on E-Kanban Implementation: A Framework for Successful Implementation BT - Supply Chain Strategies, Issues and Models, in: Ramanathan, U., Ramanathan, R. (Eds.), Supply Chain Strategies, Issues and Models. Springer London, 99-112. DOI: 10.1007/978-1-4471-5352-8_5.
  • McFarlane, D., Sarma, S., Chirn, J.L., Wong, C.Y., Ashton, K. (2002). The intelligent product in manufacturing control and management. IFAC Proceedings Volume, 35, 49-54. DOI: 10.3182/20020721-6-ES-1901.00011.
  • Menanno, M., Ragno, P., Savino, M.M., Muhammad, S. (2019). Implementing industry 4.0 technologies in lean production through e-kanban automotive production. Proceedings of the Summer School Francesco Turco, 1, 458-463.
  • Neal, A.D., Sharpe, R.G., Conway, P.P., West, A.A. (2019). smaRTI - A cyber-physical intelligent container for industry 4.0 manufacturing. Journal of Manufacturing Systems, 52, 63-75. DOI: 10.1016/j.jmsy.2019.04.011.
  • Pauker, F., Frühwirth, T., Kittl, B., Kastner, W. (2016). A Systematic Approach to OPC UA Information Model Design, Procedia CIRP, 57, 321-326.
  • Penas, O., Plateaux, R., Patalano, S., Hammadi, M., (2017). Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems. Computer in Industry, 86, 52-69.
  • Rother, M., Shook, J. (2003). Learning to See Value Stream Mapping to Create Value and Eliminate Muda. Lean Enterprise Institute, Brookline. DOI: 10.1109/6.490058.
  • Stadnicka, D., Bonci, A., Pirani, M., Longhi, S. (2017). Information management and decision making supported by an intelligence system in kitchen fronts control process. International Conference on Intelligent Systems in Production Engineering and Maintenance, Cham: Springer, 249-259.
  • Tarallo, A., Mozzillo, R., Di Gironimo, G. (2018). A cyber-physical system for production monitoring of manual manufacturing processes. International Journal on Interactive Design and Manufacturing, 12, 1235-1241.
  • Unger, H., Markert, T., Müller, E. (2018). Evaluation of use cases of autonomous mobile robots in factory environments. Procedia Manufacturing, Elsevier, 254-261. DOI: 10.1016/j.promfg.2018.10.044.
  • Villalonga, A., Beruvides, G., Castaño, F., Haber, R. (2018). Industrial cyber-physical system for condition-based monitoring in manufacturing processes. IEEE Industrial Cyber-Physical Systems (ICPS), 637-642.
  • Xu,Y., Chen, M. (2016). Improving Just-in-Time Manufacturing Operations by Using Internet of Things Based Solutions, in: Procedia CIRP, Elsevier B.V., 326-331. DOI: 10.1016/j.procir.2016.10.030.
  • Zhao, Z., Lin, P., Shen, L., Zhang, M., Huang, G.Q. (2020). IoT edge computing-enabled collaborative tracking system for manufacturing resources in industrial park. Advanced Engineering Informatics, 43 (101044). DOI: 10.1016/j.aei.2020.101044.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171673162

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