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Metoda zarządzania niezawodnością i procesami obsługi linii produkcyjnej wspomagana statystyczną analizą danych

Piesik J.

Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej

2016

Nr 51

151--154

W referacie zostanie przedstawiona metoda zarządzania niezawodnością i procesem obsługi linii produkcyjnej wraz z implementacją wspomaganych komputerowo narzędzi statystycznych na linii produkcji półfabrykatów do produkcji opon. Referat ma na celu pokazanie skutecznych, relatywnie tanich oraz łatwych w implementacji w różnych środowiskach przemysłowych narzędzi do poprawy niezawodności maszyn, oraz pośrednio poprawy wyników jakościowych produkowanych wyrobów.

The paper presents the management method of reliability and service process of production line with the implementation of computer-aided statistical tool on the production line of semi-finished products for tire production. Author proposed the complex strategy of reliability management composed of three elements: Total Productive Maintenance (TPM), Reliability Centered Maintenance (RCM) and computer-aided statistical tool with prediction of potential defects and failures (CAST-P). Important issue is to obey the order of deployments of those techniques (TPM-RCM-CAST-P). CAST-P tool using Apriori algorithm analyze the historical data gathered by the supervising production system to find the rules. Created set of rules is used for filtering current data from the production line and find potential defects and failures. Rapport with potential defects is send at web page version to maintenance breakdown worker. The final step is the reaction of maintenance personnel for predicted symptoms. The paper aims to show effective, relatively cheap and easy to implement in a variety of industrial environments tools to improve machine reliability and indirectly improve the quality of produced goods.

Two numerical models of a slab caster

Štetina J., Mauder T., Kavicka F., Franek Z., Sekanina B.

Prace Instytutu Metalurgii Żelaza

2009

T. 61, nr 5

131-136

Optimization and control of production of steel slabs on real casters, with the aim of achieving the maximum possible savings and product quality, is unthinkable without perfect knowledge of the course of solidification and cooling, which must be known with the aid of an on-line model of the transient temperature field of the concasting in real time. The on-line model is the basis for establishing the prediction system. An application server with its own database is established for acquiring the data files from three sources – from the steelworks information system, from the on-line model of the temperature field and the data on the quality of the final products (i.e. sheet-steel) from the rolling mill information system. A data warehouse is created of which the data will be processed statistically. Recommended limit values of the deciding parameters are established. Based on these limit values and the current state of the caster displayed on the computer screen in the control room, a new system is be designed for the control and correction of its operation. In the final step, a system for comprehensive prediction is established first. This system includes only really occurring defects. It must also be possible to enter new defects, including a definition of their cause/origin. Modern mathematical & statistical methods and artificial intelligence methods, based on knowledge acquisition from data, are used to predict defects.