Supporting the Manufacturing Process of Metal Products with the Methods of Artificial Intelligence

The aim of this research programme was to develop a series of methods and solutions to support the decision-making process in foundry and materials engineering. The specific problems discussed included the selection of methods for data processing and knowledge representation formalisms, backed up by...

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Bibliographic Details
Published in:Archives of metallurgy and materials 2016-12, Vol.61 (4), p.1995-1998
Main Author: Wilk-Kołodziejczyk, D.
Format: Article
Language:English
Subjects:
decision algorithms
manufacturing process of metal products
the implementation of IT solutions
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Summary:The aim of this research programme was to develop a series of methods and solutions to support the decision-making process in foundry and materials engineering. The specific problems discussed included the selection of methods for data processing and knowledge representation formalisms, backed up by the creation of decision algorithms based on contemporary achievements of artificial intelligence, tailored to the needs of foundry industry and metallurgy. The manufacturing process of metal items is associated with many aspects, which affect the quality of end product. For process engineers responsible for the supervising and planning of production, an important feature is, among others, the diversified nature of numerous aspects of the knowledge acquisition and integration from distributed sources of information which, when made available in an appropriate manner, can support the improvement of manufacturing process.
ISSN:2300-1909
1733-3490
2300-1909
DOI:10.1515/amm-2016-0322