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Fabric defects that occur during weaving production causes wastage at garment production. If fabric defects can not be detected during garment production, causes separation of the finished product as second quality. In this study, in a weaving mill, raw fabrics were inspected during three weeks for defect detection after weaving operation and results were investigated using statistical methods. Detected fabric defects has been classified and noted on quality control charts. For statistical investigation of number of defects pareto analysis and p control charts were used from statistical process control methods. [ABSTRACT FROM AUTHOR]

Fabric defects that may occur at different stages of woven terry fabric production requires quality control and classification of fabrics as first or second grade before sending to customer. In this study, before shipping of two different terry fabric orders, defects were detected by inspection of fabric rolls on a lighted control board by experienced experts. Number of the defects and dimensions of the defects seen during the inspection were noted on quality control charts. Detected defects were defined and scored according to different demerit point systems. In this way, the fabric rolls were classified according to the demerit point systems before being shipped to garment enterprises. Disputes can be avoided with classification made by a demerit point system on which manufacturer and the customer have agreed. [ABSTRACT FROM AUTHOR]

In this study, the number of specific woven fabric defects occured on raw terry fabrics during weaving production were investigated with statistical process control techniques. Raw fabrics of a selected standart fabric production were inspected for defect detection after weaving operation in a towel production company. Defects were detected by inspection of fabric on a lighted control board by experienced experts. Number of defects were noted on quality control charts. Applying pareto analysis, defects were revealed that formed 80% of total defects. Cause-effect diagrams and p control charts were created and solution suggestions to avoid these defects were presented keeping in mind that eliminating elementary causes, which is 20% of total problems, can resolve 80% of resources of problems. [ABSTRACT FROM AUTHOR]