EDUCATIONAL SOFTWARE FOR THE OPTIMIZATION OF SAFETY IN OPERATION IN THE TEXTILE PROCESSES
EDUCATIONAL SOFTWARE FOR THE OPTIMIZATION OF SAFETY IN OPERATION IN THE TEXTILE PROCESSES

Summary/Abstract: One of the present challenges of the textile production management consists in correlating the production- quality policies corroborated with the need to control and optimize the manufacturing process from the standpoint of the times of good operation and maintenance respectively. The studies undertaken until now have proved the necessity of a new approach of the causal relationship between safety in operation and production strategies, based on mathematical and neuronal modelling. The objective of our research consists in the determination of reliability/ maintainability relationship for a manufacturing process (dependent output variables), and production/resulted quality (independent input variables). In this connection, we propose a unitary software instrument applied to this optimization problem, able to refine qualitatively the results and to combine the algorithmic character of this mathematical approach with the neuronal networks learning based one. In order to reach the proposed objective, one resorted to the application of quantitative learning techniques (numerical measurement of parameters), qualitative research (proposing the working hypotheses), mathematical modelling, and research in artificial intelligence field (neuronal modelling- generation of test patterns, definition of internal network structure). The two correlation models are comprised in a unitary software application that validates experimentally the hypotheses on causality relationships between variables, and can be proposed as a decision instrument for the operational management problem concerning the Safety in Operation, to support production-quality policies. The application has been tested in the concrete case of spinning process, being in process of validation. The obtained results are used at present in teaching activity (educational software used in practical classes for the disciplines "Maintenance Management" and "Optional Research"), meaning to be extended in the practice of textile production management

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