In textile companies, the detection of
flaws and unacceptable areas of fabrics at the quality control stage has great
importance for apparel production, although it is also a post-manufacturing
operation for weaving and knitting mills, today it is still mostly being
carried out on the guidance of human perception and sensory abilities. Such
quality control operations are based on the attendant employee’s detection of
the flaws and the unacceptable areas by visual inspection and scanning the
overall fabric structure which is being transported on a brightly illuminated
straight plane. The detected flaws during the scanning operation are recorded
on the flaw charts and these outcomes subsequently are subjected to the quality
control supervisor’s evaluation and thereafter, it is decided whether the
related inspection reports would exemplify an appropriate fabric to be used in
production or not. In this study, it is aimed to develop a new system which
enables to integrate the empirical paperwork-based reports that are still being
commonly utilized by the majority of the textile companies in to the
contemporary technology and also allows to compare such reports with the
previous ones when it is necessary. The proposed system development consists of
a fabric inspection machine which is equipped with a PLC-controlled digital
display or in other words an intelligent control, and a web based software that
enables the controller to analyze the reports comprehensively and
simultaneously those of produced by this system, The system, which renders paperwork reports
obsolete, allows the reports to be viewed on computer screens as soon as the
inspection was completed, and all of the fabric rolls within the same order,
multiple batches or bundles to be displayed on a single screen. Thus, it
permits to determine the usability of the fabric for the production via
employing the 4-points system which is one of the prevailing methods for
quality control procedures in the industry. Consequently, it is aimed to
achieve significant time and labor savings in textile companies via utilizing
this new developed system.
Primary Language | English |
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Subjects | Wearable Materials |
Journal Section | Articles |
Authors | |
Publication Date | March 26, 2019 |
Submission Date | December 3, 2018 |
Acceptance Date | March 7, 2019 |
Published in Issue | Year 2019 Volume: 29 Issue: 1 |