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| Received
04-Jun-2026 |
Accepted
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Published
04-Jun-2026 |
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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