Advanced Quality Control in a Manufacturing Company
One of our consultants at StatSoft CR, Miloš Uldrich, recently penned an article for IT Systems magazine, a Czech publication.
In his article, Uldrich provides a broad overview of business intelligence as it relates to quality processes:
“The term business intelligence (BI) can be interpreted in at least two different ways,” he writes. “In one sense, it is a platform for advanced analysis and reporting; in another, it is a comprehensive business system that consolidates accounting, management and other systems.”
Uldrich focuses his attention on the common understanding of BI as a system that can analyze corporate data and transmit results in a useful form to relevant personnel.
As he explains it: “The question today is not why we have such systems. Every production company stores, measures, and evaluates data in some fashion. What differs are their methods for processing data. Some businesses store their measurements in databases, and others store their production data in Excel spreadsheets, which are rewritten from paper sheets. BI solutions are intended to improve business processes.”
In his article, Uldrich provides specific examples to illustrate the practical, cost-saving benefits of analytics in the pursuit of quality initiatives.
“One interesting, concrete example is the application of neural networks, which generally includes advanced data mining, in industrial environments…Based on dozens of input parameters (e.g., temperature, flow rate, composition, etc.), the neural network system evaluates product composition…If evaluation yields negative findings, the company has the option to respond immediately with action to remedy the technological process. As a result, it is possible to reduce the cost and frequency of sample collection while significantly contributing to the stabilization of production quality.”
Uldrich also addresses:
- data storage and conversion from disparate repositories
- parameters to consider when selecting a BI solution
- the popularity of Six Sigma
Read the complete, original Czech article here.
SOURCE: SystemOnLine. Pokročilá kontrola kvality ve výrobním podniku. Miloš Uldrich. July-August issue, 2012. Excerpts and image retrieved and translated November 29, 2012, from http://www.systemonline.cz/clanky/pokrocila-kontrola-kvality-ve-vyrobnim-podniku-1.htm