Implementation KMES Quality system for acquisition and processing data in chosen foundry

• Autorzy: Sika R. , Ignaszak Z.
• Języki publikacji: EN

Abstrakty

EN

In the paper, main assumptions, algorithms and functions of author’s KMES Quality system are discussed. Its working version is tested in chosen foundry by near 2 years. This system is applied to enlarge the use of chosen technological data accessible during foundry processes. The data can be introduced by means of keyboard directly in the fields (windows) present on the PC screen according to program commands, instead of report-manuscripts containing measured results, or from the automated measurement recording system by direct data import to KMES Quality system. In the paper, a way of technological data acquisition with their further integration into main foundry databases and their processing, with taking into consideration e.g. kind of casting assortment, current time, sequences of measurements, are presented. Also the capabilities of linking KMES Quality system with SAP R/3 system existing in this foundry useful to quality assurance is show.

Słowa kluczowe

EN

assurance quality in foundry; KMES - Quality system; foundry processes; mould sands properties; pouring temperature

PL

zapewnienie jakości w odlewni; system jakości KMES; procesy odlewnicze

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2008
• Tom: Vol. 8, iss. 3s
• Strony: 97--102
• Opis fizyczny: Bibliogr. 8 poz., rys., wykr.

Twórcy

autor

Sika R.

• Poznan University of Technology, CAD/CAE Laboratory of Material Technology in Institute of Materials Technology, 3 Piotrowo Street, 60-965 Poznań, Poland

autor

Ignaszak Z.

• Poznan University of Technology, CAD/CAE Laboratory of Material Technology in Institute of Materials Technology, 3 Piotrowo Street, 60-965 Poznań, Poland

Bibliografia

• [1] Sika R., Ignaszak Z., After implementation of KonMas-final program – its use to analysis of foundry processes in chosen department in Foundry, paper for XI International Symposium – Modeling of Casting and Foundry Processes, 26-27 October 2006, POZNAN-ŚREM (in Polish).
• [2] Sika R., Identification of SAP R/3 structure and its usefulness to management and quality control in chosen Foundry, engineer diploma work managed by Zenon Ignaszak, Poznan University of Technology, Poznan 2006 (in Polish).
• [3] Dean Abbott, I. Philip Matkovsky, and John Elder IV, Ph.D., An Evaluation of High-end Data Mining Tools for Fraud Detection. published a comparative analysis of major high-end data mining software tools that was presented at the 1998 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA, October 12-14, 1998, http://www. abbottanalytics.com/assets/pdf/Abbott-Analytics-Evaluation-High-End-DM-Tools-1998.pdf.
• [4] Wikipedia., Data Mining, Wikipedia the free encyclopedia, 2007.
• [5] Wegman E.J., Statistical Data Mining INFT/CSI 979, Spring semester 2001, http://www.galaxy.gmu.edu/stats/ syllabi/ INFT 979.spring2001.html.
• [6] Wright P., Knowledge Discovery in Database: Tools and Techniques, 1998.
• [7] Wieczerzycki W., Databases, Poznan 1994, wyd. PFE (in Polish).
• [8] Bramczewski K., Idec M., Szwajkowski S.: System to aquisition and registration temperature of mould’s pouring, manual for RTO PC program, PC Soft s.c. Piła 1996 (in Polish).