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System analysis applied for controlling the quality of metallurgical rollers

Wojtynek L.

Archives of Foundry Engineering

2010

Vol. 10, iss. 1

211-216

In the work, the system analysis in the foundry where the quality management system has been implemented was described. The generalized model of the foundry's production system was presented taking the company's surrounding and process attitude into account.

Statistical and visualization data mining tools for foundry poduction

Perzyk M.

Archives of Foundry Engineering

2007

Vol. 7, iss. 3

111-116

In recent years a rapid development of a new, interdisciplinary knowledge area, called data mining, is observed. Its main task is extracting useful information from previously collected large amount of data. The main possibilities and potential applications of data mining in manufacturing industry are characterized. The main types of data mining techniques are briefly discussed, including statistical, artificial intelligence, data base and visualization tools. The statistical methods and visualization methods are presented in more detail, showing their general possibilities, advantages as well as characteristic examples of applications in foundry production. Results of the author's research are presented, aimed at validation of selected statistical tools which can be easily and effectively used in manufacturing industry. A performance analysis of ANOVA and contingency tables based methods, dedicated for determination of the most significant process parameters as well as for detection of possible interactions among them, has been made. Several numerical tests have been performed using simulated data sets, with assumed hidden relationships as well some real data, related to the strength of ductile cast iron, collected in a foundry. It is concluded that the statistical methods offer relatively easy and fairly reliable tools for extraction of that type of knowledge about foundry manufacturing processes. However, further research is needed, aimed at explanation of some imperfections of the investigated tools as well assessment of their validity for more complex tasks.