A concept for a production flow control system toolset for discrete manufacturing of mechanical products
Jarosław CHROBOT
jaroslaw.chrobot@gmail.comWroclaw University of Science and Technology, Faculty of Mechanical Engineering (Poland)
https://orcid.org/0000-0001-9073-5251
Abstract
Requirements for product traceability in certain industrial sectors make Production Flow Control Systems (PFC) a desirable component in the operation of production enterprises. Such a system serves as a valuable tool for companies by preventing defective products from being sent to customers, enabling the automatic blocking of defective parts once the cause of the defect is identified. This article discusses a proposed PFC system toolset that meets fundamental industrial requirements in the field of discrete manufacturing of mechanical products. The system integrates key elements such as rework, disassembly, single non-controlled stations, as well as various essential and optional software applications and modules.
Keywords:
production flow control, traceability, discrete production, mechanical productsReferences
Agnusdei, G. P., Coluccia, B., Elia, V., & Miglietta P. P. (2022). IoT technologies for wine supply chain traceability: Potential application in the Southern Apulia Region (Italy). Procedia Computer Science, 200, 1125-1134. https://doi.org/10.1016/j.procs.2022.01.312
Google Scholar
Argilovski, A., Jovanoski, B., Minovski, R., & Peneva, G. (2023). Product traceability in manufacturing - A review of the concepts for enhanced digital transformation. XXI International Scientific Conference „Management and Engineering '23" (ISCME).
Google Scholar
Cheshmberah, M., & Beheshtikia, S. (2020). Supply chain management maturity: An all-encompassing literature review on models, dimensions and approaches. Logforum, 16(1), 8. http://dx.doi.org/10.17270/J.LOG.2020.377
Google Scholar
Chrobot, J. (2023). Requirements for flow control systems for discrete production of mechanical products. In A. Burduk, A. Batako, J. Machado, R. Wyczółkowski, K. Antosz, & A. Gola (Eds.), Advances in Production (Vol. 790, pp. 255–267). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-45021-1_19
Google Scholar
Conti, M. (2022). EVO-NFC: Extra virgin olive oil traceability using NFC suitable for small-medium farms. IEEE Access, 10, 20345–20356. https://doi.org/10.1109/ACCESS.2022.3151795
Google Scholar
Costa, F., do Sameiro Carvalho, M., Fernandes, J. M., Alves, A. C., & Silva, P. (2017) Improving visibility using RFID – the case of a company in the automotive sector. Procedia Manufacturing, 13, 1261-1268. https://doi.org/10.1016/j.promfg.2017.09.048
Google Scholar
Kuhn, M., Funk, F., & Franke, J. (2021). Blockchain architecture for automotive traceability. Procedia CIRP, 97, 390-395. https://doi.org/10.1016/j.procir.2020.05.256
Google Scholar
Kumar, G. (2024). Drug traceability - divine or challenge for pharma sector. International Journal of Scientific Research, Computer Science, Engineering and Information Technology, 10(1), 154-159. https://doi.org/10.32628/CSEIT2410126
Google Scholar
Leal, F., Chis, A. E., Caton, S., González–Vélez, H., García–Gómez, J. M., Durá, M., Sánchez–García, A., Sáez, C., Karageorgos, A., Gerogiannis, V. C., Xenakis, A., Lallas, E., Ntounas, T., Vasileiou, E., Mountzouris, G., Otti, B., Pucci, P., Papini, R., Cerrai, D., & Mier, M. (2021). Smart pharmaceutical manufacturing: Ensuring end-to-end traceability and data integrity in medicine production. Big Data Research, 24, 100172. https://doi.org/10.1016/j.bdr.2020.100172
Google Scholar
Mitsiaki, A., Dimitriou, N., Margetis, G., Konstantinos, V., & Tzovaras, D. (2023). Enhancing defect traceability and data integrity Industry 4.0 using blockchain. 10th ECCOMAS Thematic Conference on Smart Structures and Materials (pp. 1173-1184). http://dx.doi.org/10.7712/150123.9866.443273
Google Scholar
Sarkar, S. (2022) Digital traceability of pharmaceutical drugs in supply chain. International Journal of Advance Research in Computer Science and Management, 10(2), 39-44.
Google Scholar
Sarkar, S. (2024). The future of digital drug traceability in the global supply chain. World Journal of Clinical Medicine Research, 4(1), 1–6. http://dx.doi.org/10.31586/wjcmr.2024.896
Google Scholar
Schuitemaker, R., & Xu, X. (2020). Product traceability in manufacturing: A technical review. Procedia CIRP, 93, 700-705. https://doi.org/10.1016/j.procir.2020.04.078
Google Scholar
Steghöfer, J.-P., Koopmann, B., Becker, J. S., Törnlund, M., Ibrahim, Y., & Mohamad, M. (2021). Design decisions in the construction of traceability information models for safe automotive systems. IEEE 29th International Requirements Engineering Conference (RE) (pp. 185-196). IEEE. http://dx.doi.org/10.1109/RE51729.2021.00024
Google Scholar
Xiao, X. (2021). Improved traceability process for frozen tilapia waste elimination in cold chain. Cleaner Engineering and Technology, 4, 100148. https://doi.org/10.1016/j.clet.2021.100148
Google Scholar
Zheng, M., Zhang, S., Zhang, Y., & Hu, B. (2020). Construct food safety traceability system for people’s health under the internet of things and big data. IEEE Access, 9, 70571–7058. http://dx.doi.org/10.1109/ACCESS.2021.3078536
Google Scholar
Authors
Jarosław CHROBOTjaroslaw.chrobot@gmail.com
Wroclaw University of Science and Technology, Faculty of Mechanical Engineering Poland
https://orcid.org/0000-0001-9073-5251
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