This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Modern processing is a combination of individual production cell, designed to complete the business of manufacturing parts of subassemblies and their integration into the final product of the product. The success of such a system depends on stability operations while minimizing the possible errors in the system. The continuous monitoring system is necessary to maintain the functionality and quality of production, because of deviation from the normal situation caused a drop in productivity. Reliable detection and isolation of faults is an important part of a successful maximizing productivity. For this, we need methods and information for the diagnosis and correction of errors. In addition to continuous monitoring is necessary to predict the possible situations for the emergence of errors. Error detection and quality control of the production process is based on an insufficient prior information. Interpretation of the measurement results is also complicated by the uncertainty in the collected data. Data vary at the entrance and we can easily set the threshold bad and good products. a lot of the parameters affecting the quality of them and they cannot set effective thresholds. Experience shows that the best method of application of fuzzy logic to measure inputs, as well as materials from which the real product, which together with the production process affect the quality of the product. Fuzzy logic is set up like a real logic to group indeterminate and uncertain data into groups that give soft linguistic variables (e.g., bad, good, better, excellent). Also, the output quality can be rated as not good enough, good, better, as good, excellent). FMEA logic gives us possibility to predict all possible errors in the system and calculated risk factor for using such a system.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.
