| Popis: |
If we want to understand and manage any manufacturing process, it is necessary to ensure its objective and detailed description in real time. Diagnostic tools and methods are used for this purpose, but often they contain isolated descriptions of each process parameter. For the diagnosis to be as accurate as possible, we need to ensure a comprehensive collection of parameters describing the manufacturing process, which usually creates a very large set of data. A sufficiently large set of data obtained by diagnostic process enables us to discover, in addition to the obvious characteristics of the manufacturing process, also the hidden correlations between the parameters of the manufacturing process that allow us to understand the mutually affecting phenomena in the production process by implementing progressive and modify them to improve the results of the manufacturing process. Application of progressive methods in the complex diagnosis of the manufacturing process is the subject of our research. |
