Abstract
Abstract This work deals with prediction of the quantities of sewing threads required to sew a garment using cover stitches for the different classes of 600 (602, 605 and 607 cover stitches) by performing a rapid and precise methods (Geometrical and statistical). Sewing consumption value was estimated based on the geometrical method of different cover stitch shapes to prevent inventory of stocks for each stitch type. In the prediction of the sewing thread consumption for each investigated stitch, it was assumed that the consumption is a function of the input parameters, such as material thickness, stitch density, yarn linear density, and seam width. In addition, a statistical method based on multi-linear regression was established. The coefficient R2 value was determined to evaluate the precision of the geometrical and statistical methods. By comparing the theoretical thread consumption with the experimental ones, it is concluded that the geometrical method is more accurate than the statistical method regarding the range of R2 (from 98.78% to 99.38%), which encouraged industrialists to use geometrical models to predict thread consumption. The input parameters contributing to the sewing thread consumption behavior were studied and analyzed. It was concluded that the most important parameters influencing thread consumption are stitch density followed by seam width. Both yarn density and material thickness have a low contribution to the thread consumption value.
Highlights
Many components and various processes are required as well as multiple parameters must be considered to produce a garment, such as the fabric, the seam thread, machinery, and human skills
The sewing thread consumption has been a complicated problem for many years and scientists have tried to give industries effective methods to help the manufacturers to estimate their consumed thread based on stitch types prior to starting seaming process
This work deals with the prediction of the required amount of sewing thread using denim samples and cover stitch class 600 using more than three significant input parameters and analyzed their effects through two methods: mathematical and statistical methods
Summary
Many components and various processes are required as well as multiple parameters must be considered to produce a garment, such as the fabric, the seam thread, machinery, and human skills. The fabric and sewing thread consumption must be analyzed to predict the adequate consumption to get rid of unnecessary inventory stocks of threads so that the operational expenses are effectively reduced and investment in stocks has considerably reduced. The sewing thread consumption has been a complicated problem for many years and scientists have tried to give industries effective methods to help the manufacturers to estimate their consumed thread based on stitch types prior to starting seaming process. The sewing thread consumption depends upon several parameters, hypotheses, and assumptions, and so the researchers used different techniques (statistical, mathematical, etc.) for estimation. Still industrialists are searching for reliable and efficient solutions
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