Selection of data mining method for multidimensional evaluation of the manufacturing process state

• Autorzy: Rogalewicz M. , Piłacińska M. , Kujawińska A.
• Języki publikacji: EN

Abstrakty

EN

The article deals with the issues involved in evaluating the process state on the basis of many measures, including: process parameters, diagnostic signals and events occurring during the process. These measures as well as those measurements traditionally used in the evaluation of process capability, offer a relevant source of information about the manufacturing process and the authors attempted to ascertain the most suitable method, or group of methods, for achieving this. They present the main criteria for the categorization division of the methods of the manufacturing process state evaluation and, from those identified, distinguish the traditional from Data Mining methods. The authors then specify some basic requirements regarding the desired method or group of methods and focus on the classification problem. A division and classification of the methods is made and briefly described. Finally, the authors specify the criteria for their selection of the Data Mining method type as being the most appropriate for the evaluation of the manufacturing process state and, from within this type, offer the most suitable groups of methods. Some directions for further research are discussed at the end of the article.

Słowa kluczowe

EN

quality control; process state evaluation; data mining methods; classification

PL

jakość kontroli; proces produkcji; eksploaracja danych; metoda; klasyfikacja

• Wydawca: Production Engineering Committee of the Polish Academy of Sciences ; Polish Association for Production Management
• Czasopismo: Management and Production Engineering Review
• Rocznik: 2012
• Tom: Vol. 3, No. 2
• Strony: 27--35
• Opis fizyczny: Bibliogr. 18 poz., rys., tab.

Twórcy

autor

Rogalewicz M.

autor

Piłacińska M.

autor

Kujawińska A.

• Institute of Mechanical Technology, Piotrowo 3, 60-965 Poznań, Poland, phone: [phone],

Bibliografia

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