Process Planning by Applying Data Mining Approaches

Yıl 2015, Cilt: 36 Sayı: 3, 2661 - 2669, 13.05.2015

Ali Kamjoo

Öz

Abstract. There are huge amount of data which need to analysis and extract valuable knowledge. The extracted knowledge is useful for developing or planning for creating products, communication, supplying or monitoring the results or etc. Currently one of the main requirements is related to assessment of product quality. Data mining techniques are useful for program planning process based on the extracted knowledge, product producing or assessment for developing the quality of products with the help of data mining techniques. In this article, we attempt to cover the various applications of data mining techniques for process planning purpose. 

Anahtar Kelimeler

Data Mining, Data Production, Processing Parameters, Knowledge Discovery

Kaynakça

• Trentesaux D, Thomas A. (2013), Product-Driven Control: Concept, Literature Review And Future Trends. In: Borangiu T, Thomas A, Trentesaux D.Service Orientation In Holonic And Multi Agent Manufacturing And Robotics. In: Studies In Computational Intelligence 472. Heidelberg: Springer.
• Uhlmann E, Hohwieler E, Kraft, M. (2013), Selbstorganisierende Produktion Mit Verteilter Intelligenz. Intelligente Werkstücke Steuern Ihren Weg Durch Die Fertigung. Wt Werkstattstechnik; 103 (2): 114-117.
• Xu X, Wang L, Newman ST. (2011), Computer-Aided Process Planning - A Critical Review Of Recent Developments And Future Trends. International Journal of Computer Integrated Manufacturing, 24 (1): 1-31.
• Fayyad U, Piatetsky-Shapiro G, Smyth P. (1996), From Data Mining To Knowledge Discovery In Databases. AI Magazine; 17 (3): 37-54.
• Köksal G, Batmaz I, Testik MC. (2011), A Review Of Data Mining Applications For Quality Improvement In Manufacturing Industry. Expert Systems with Application; 38: 13448-13467.
• Sánchez López T, Ranasinghe DC, Patkai B, Mcfarlane D. (2009), Taxonomy, Technology and Applications of Smart Objects. Information Systems Frontiers; 13 (2): 281-300.
• Denkena B, Mörke T, Krüger M, Schmidt J, Boujnah H, Meyer J, Gottwald P, Spitschan B, Winkens M. (2014), Development And First Applications Of Gentelligent Components Over Their Lifecycle. CIRP Journal of Manufacturing Science and Technology; 7: 139- 150.
• Schneewind J. Entwicklung Eines Systems Zur Integrierten Arbeitsplanerstellung Und Fertigungsfeinplanung Und -Steuerung Für Die Spanende Fertigung. Phd Thesis, RWTH Aachen. Aachen: Shaker Verlag; 1994. [9] Werner M ..
• Simulationsgestützte
• Reorganisation Von Produktions- Und
• Logistikprozessen. Phd Thesis, Techn. Univ. Munich. Munich: Herbert Utz Verlag; 2001.
• Denkena B, Litwinski KM, Brouwer D, Boujnah H. (2013), Design and Analysis Of A Prototypical Sensory Z-Slide For Machine Tools, Production Engineering - Research And Development; 7: 9-14.
• Litwinski KM. Sensorisches Spannsystem Zur Überwachung Von Zerspanprozessen in Der Einzelteilfertigung. (2011), Phd Thesis, Leibniz Universität Hanover. Hannover: PZH Verlag;