The purpose of the present study was to estimate dimensional measure properties of T-shirts made up of Single Jersey and interlock fabrics through Artificial Neural Networks (ANN). To that end, 72 different types of t-shirts were manufactured under 2 different fabric groups, each was consisting of 2 groups: one with elastane and the other without. Each of these groups were manufactured from six different materials in three different densities through two different knitting techniques of single jersey and interlock. For estimation of dimensional changes in these T-shirts, models including feed-forward, back-propagated, the momentum learning rule and sigmoid transfer function were utilized. As a result of the present study, the ANN system was found to be successful in estimation of pattern measures of garments. The prediction of dimensional properties produced by the neural network model proved to be highly reliable (R2> 0.99).

Dimensional change problems experienced in textile products have always been an important subject and in the focus of attention. Today it is expected that dimensional changes in fabrics, the basic material of textile products, must range within certain limitations. Fabrics processed in the finishing divisions are wound or decatized in various forms according to the fabric structure and the demands of garment manufacturers. However, fabrics may be distorted in these storing processes, which results in undesired dimensional changes under the stress incurred. Nevertheless fabrics are required to be delivered to garment manufacturers at specific tension values. Indeed these values are not acquired as expected; consequently, it is known that they represent a core conflict subject between finishing plants and garment manufacturers. The present study investigated the structures of garment manufacturers and dimensional change problems they experience during fabric layout. The aim was to determine the severity of the problem in terms of the garment manufacturer and fabric types, which cause problems frequently, and to search for solutions to overcome this issue by means of a survey study. Solutions which would increase production efficiency and reduce processing time have been emphasized.

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Özet: Ergonomik açıdan yetersiz tasarlanmış ofis ortamları ve ekipmanları, zaman geçtikçe kalıcı hale gelen kas iskelet sistemi rahatsızlıklarına yol açmaktadırlar. Günümüzde ofislerde bilgisayar karşısında çalışma sürelerinin artmasıyla, insanlar adeta koltukları ile bütünleşik bir şekilde yaşar hale gelmişlerdir. Uzun süre koltuklarında oturarak çalışanlarda gözlenen kas iskelet sistemi rahatsızlıklarını engellemek amacıyla farklı ofis koltuğu konstrüksiyon tasarımları ve çalışma postürü ile ilgili kullanıcı eğitimleri verilmesi üzerine çalışmalar yapılmaktadır. Bir ön araştırma olarak bu çalışmada, ofis ortamında uzun süre oturarak çalışan Dokuz Eylül Üniversitesi akademik ve idari personeli arasından belirlenmiş olan örnekleme anket uygulaması yapılmıştır. Kişilerin anket cevaplarında belirttikleri rahatsızlıklardan yola çıkılarak, ofis çalışanlarının konfor şartlarının iyileştirilmesi için iki adet masaj mekanizması tasarlanmıştır.