The balanced scorecard: a foundation for the strategic management of information systems
Decision Support Systems
Using a balanced scorecard framework to leverage the value delivered by IS
Information technology evaluation methods and management
Software project management: the manager's view
Communications of the AIS
Metrics and Models in Software Quality Engineering
Metrics and Models in Software Quality Engineering
CMMI Guidlines for Process Integration and Product Improvement
CMMI Guidlines for Process Integration and Product Improvement
A proposal of a method to navigate interview-driven software requirements elicitation work
WSEAS Transactions on Information Science and Applications
WSEAS Transactions on Information Science and Applications
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This study focuses on the data reliability improvement of monitoring system in a steel manufacturing industry. The data obtained from the existing monitoring system is not the current micro data that reveals the current situation, rather it shows the average value (macro data) of between the current point and ending point. This macro data is not only difficult to analyze the factors causing errors, but also might have fatal influences on the quality of produced goods even the error is located within the tolerance level. Because the average value can be in the tolerance, but the maximum error value can be greater than the tolerance. Steel production process also produces tons of data, thus the required database should be capable of this huge amount of data. The proposed system in this study can collect large amount of data and also can analyze the collected data to quality control the steel production. And also the proposed system adopt the web-based technology, inquiries and analysis of data can be handled with no limit of time and space within the factory using the PC connected to the intranet. Hence, the system can increase the quality of manufactured products, and can raise the reliability of the products which is very important in the steel business. The accurate accumulated data from the system also can be used for developing new controlling model, operation technology, and new product development. This kind of improvements was very much required, but not possible, because the accurate micro data was not able to get in the old system.