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An Effective Approach Using BI Techniques to Analyze Process Control Parameters During Steel Products Manufacturing

National Journal of System and Information Technology

Volume 4 Issue 1

Published: 2011
Author(s) Name: Veena N. Jokhakar, Dr. S. V. Patel
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Abstract

Analysis is a process of understanding data more precisely. The process of analysis differs according to the data we are trying to analyze. Typical steel product manufacturing involves many processes running 24*7 in sequence comprising of different process units. These process units have sensors generating useful data for process control. These parameters have to be analyzed and monitored in real time to get a good quality product. The conventional methods to analyze these data are inefficient. Hence, in this paper we present an approach for analysis that combines various process control and quality control parameters, uses online analytical processing (OLAP) system and provides flexibility to the user for necessary analysis. Keywords: Data Warehouse, Online Analytical Processing, Statistical Process Control, Statistical Quality Control, Cube.

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