Özet:

Today, clothing are becoming more advantageous in competitive conditions by reducing quality errors. This study was done in order to identify the factors that cause quality errors in the planting department in the costume enterprises and to allow the costume enterprises to plan quality improvement work. The research data was collected from a costume company that produces clothes from clothes and the effects of the processes in this company on quality errors in the planting section, the employers, the types of machines and the number of repeats. For statistical analysis, one-way variance analysis (Oneway Anova), Duncan test and correlation analysis were used. The study was conducted in the production unit in the research framework of the process, the workforce and repeat number are factors affecting quality errors in the planting section, however the type of machine has not affected quality errors. According to these results, the priorities of quality improvement work in the costume business have been revealed.

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