Flexible production flow control systems

• Autorzy: Chrobot Jarosław

Identyfikatory

DOI

10.25961/ent.manag.24.01.01

• Języki publikacji: EN

Abstrakty

EN

Requirements regarding the quality and full traceability of delivered products in some industrial sectors, such as the food, pharmaceutical and automotive industries, where the life and health of the end user depends on the quality of the product, cause production flow control systems (PFC) to become an important element of the functioning of production enterprises. PFC systems are IT systems that are generally used for recording production data (in a database) at various stages of industrial processes, mainly from PLC controllers (in this respect they perform the function of traceability systems, that enable tracking products), but also provide blocking of identifiable products, which were incorrectly processed during earlier stages of production or follow wrong technology sequence. The desirable feature of such systems is their flexibility, which is characterised by their scalability and configurability. Configurability is the ability to include different processes into the PFC system in a relatively short time. The concept of a configurable system must be well considered and different material flow cases must be taken into account to avoid future dramatic changes in the IT system. Scalability is the ability to include more and more processes under control of the PFC system without the significant impact on its effectiveness. The PFC systems use computer networks to process production data, so the scalability of PFC systems depends on their modular architecture in the network. The article discusses basic features and possible PFC architectures, as well as two examples of configurable PFC systems along with their analysis and assessment. The described systems are the result of projects in which the author of this article participated, the aim of which was to develop and launch a flexible PFC system that meets the basic industrial requirements from the area of discrete manufacturing.

Słowa kluczowe

EN

production flow control; data registration; traceability

PL

sterowanie przepływem produkcji; rejestracja danych; identyfikowalność

• Wydawca: Polskie Towarzystwo Zarządzania Produkcją
• Czasopismo: Zarządzanie Przedsiębiorstwem
• Rocznik: 2021
• Tom: Vol. 24, nr 1-2
• Strony: 2--7
• Opis fizyczny: Bibliogr. 10 poz., il. kolor.

Twórcy

autor

Chrobot Jarosław

• Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw, Poland

Bibliografia

• [1] Bougdira A., Ahaitouf A., Akharraz I., An intelligent traceability system: Efficient tool for a supply chain sustainability, AIP Conference Proceedings, 1758, 030010, 2016.
• [2] Dharmendra Kumar Mishra D., Henry S., Sekhari A., Ouzrout Y., Traceability as an integral part of supply chain logistics management: an analytical review, International Conference on Logistics and Transport (ICLT 2015), Nov 2015, Lyon, France, 2015.
• [3] GS1 Standards Document, Business Process and System Requirements for Full Supply Chain Traceability, GS1 Global Traceability Standard, Issue 1.3.0, November 2012.
• [4] https://www.nsf.org/newsroom pdf/NewFood Traceability Oct2015.pdf, access 2018-01-09, 10:54.
• [5] http://www.intracen.org/Traceability-in-food-andagri- products/, access 2020-05-31, 10:50.
• [6] https://www.grandviewresearch.com/industryanalysis/track-trace-solutions-market, access 2021-09- 25, 08:19.
• [7] https://www.iqms.com/products/quality/manufacturing- traceability, 2021-09-26, 09:26.
• [8] León-Duarte J.A., De La Re-Ĩniguez B.M., Revisión de aplicaciones de sistemas de trazabilidad. Caso de estudio industria arnesera, Estudios de Administración, 27, 2, 96-112, 2020, https://doi.org/10.5354/0719- 0816.2020.58138.
• [9] Maro S., Stegh¨ofer J.-P., Capra: A Configurable and Extendable Traceability Management Tool, IEEE 24th International Requirements Engineering Conference (RE), Electronic, 2016.
• [10] Schuitemaker R., Xu X., Product traceability in manufacturing: A technical review, Procedia CIRP, 93, 700- 705, 2020.

Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).