Affiliations: [a] Department of Industrial Engineering, Faculty of Management and Technological Engineering, University of Oradea, Oradea, Romania | [b] Department of Engineering and Industrial Management in Textiles and Leatherwork, Faculty of Energy Engineering and Industrial Management, University of Oradea, Oradea, Romania
Correspondence:
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Corresponding author. Department of Industrial Engineering, Faculty of Management and Technological Engineering, University of Oradea, 1, Universitatii st., 410087 Oradea, Romania. Tel.: +40 259 408 241; Fax: +40 259 408 436; E-mail: E-mail: [email protected].
Abstract: The state of the textile machines can be evaluated by monitoring different parameters, such as vibration and temperature, so their maintenance can be performed a short time before the failure. However, the evolution of each monitored parameter can conduct to different decisions regarding the maintenance actions. Within this framework, fuzzy logic was proposed for planning the predictive maintenance activities of the textile machines. A fuzzy decision making system was developed and its effectiveness was illustrated for the planning of the predictive maintenance of a sewing machine needle. The results of the case study show fuzzy logic as a proactive approach to perform when needed maintenance activities of textile machines.
