Evaluating sewing thread consumption of jean pants using fuzzy and regression methods

Jaouachi, Boubaker; Khedher, Faouzi

doi:10.1080/00405000.2013.773627

Cited by 22 publications

(18 citation statements)

References 10 publications

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“…Researchers have developed mathematical models for the sewing thread consumption calculations of different stitch classes by using different techniques, i.e. Fuzzy logic, Regression analysis, Artificial Neural Networks, and Taguchi design (Jaouachi & Khedher, 2013;Jaouachi, Khedher, & Mili, 2012;Jaouadi, Msahli, Babay, & Zitouni, 2006). A system has been designed for the online detection of skip stitches during stitching process.…”

Section: Introductionmentioning

confidence: 99%

Geometrical model to calculate the consumption of sewing thread for 301 lockstitch

Rasheed

Ahmad

Mohsin³

et al. 2014

The Journal of The Textile Institute

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Sewing thread is one of the most basic yet important components of a garment. Thread consumption for the lockstitch (Class 301) can be calculated by using its geometrical shape. This paper aims to develop a geometrical model to calculate the thread consumption for lockstitch (Class 301). Based on the basic geometry of lockstitch, a model has been proposed. The model is derived mathematically taking into account different variables: stitch length, stitch density, material thickness, and interlacing. Finally, the model was verified for 19 samples by comparing actual thread consumption with predicted thread consumption. The proposed model predicts the thread consumption with 97% accuracy. Sensitivity analysis is also performed to determine the significant influencing factor affecting the thread consumption. The proposed model can predict the thread consumption precisely for 301 lockstitch. Therefore, this model is useful for the apparel industry.

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Section: Introductionmentioning

confidence: 99%

Geometrical model to calculate the consumption of sewing thread for 301 lockstitch

Rasheed

Ahmad

Mohsin³

et al. 2014

The Journal of The Textile Institute

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“…Sharma et al predicted the sewing thread consumption for chain stitch using regression models [9], and Vlinay et al predicted the sewing thread consumption for lockstitch using regression models [10]. Also, Jaouachi et al supplied an accurate method to predict the amount of sewing thread required to stitch a specific length of woven fabric using lockstitch (301) and chain stitch (401) using regression models, neural network, geometrical models, and fuzzy method [3,11,12]. Furthermore, Ghosh and Chavhan have determined a geometrical model of stitch length for lockstitch seam [13].…”

Section: Introductionmentioning

confidence: 99%

Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models

Malek

Khedher

Adolphe

et al. 2021

Autex Research Journal

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This work deals with determination of rapid and precise methods to predict the amount of sewing thread needed to sew a garment using different chain stitches of the class 400 (from 401 to 407 chain stitches). At first, to avoid unused stocks, sewing consumption value was determined using a geometrical method (based on different chain stitch shapes). The prediction of the sewing thread consumption was proposed as a function of the studied input parameters, which are fabric thickness, stitch density, yarn linear density, and stitch width. Then, a statistical method based on the multilinear regression was studied. Geometrical and statistical results were discussed. Based on the R2 range, we concluded that the geometrical method is more accurate than the statistical one (from 98.16 to 99.19% and from 97.30 to 98.51%, respectively). Thus, this result encourages industrialists to use geometrical models to predict thread consumption. Also, all studied parameters, contributing to the sewing thread consumption behavior, were investigated and analyzed. The result shows that the most important parameters affecting thread consumption are stitch density followed by stitch width and fabric thickness. The yarn density has a low contribution on the thread consumption value.

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“…Abher and khedher considered the geometrical model to calculate the consumption of the sewing thread for a 301 lock stitch [2,6]. But, Jaouachi provided an accurate method to predict the amount of sewing thread required to stitch woven fabric using lockstitch (301) and chain stitch (401) using different methods, which are regression models, neural regression, geometrical model and fuzzy method [1,7,8]. Sharma and Vlinay calculated the sewing thread consumption for chain stitch and lockstitch, respectively, using regression model [9,10].…”

Section: Introductionmentioning

confidence: 99%

Determination of Sewing Thread Consumption for 602, 605, and 607 Cover Stitches Using Geometrical and Multi-Linear Regression Models

Malek

Jaouachi

Dominique

2020

Autex Research Journal

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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.

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Evaluating sewing thread consumption of jean pants using fuzzy and regression methods

Cited by 22 publications

References 10 publications

Geometrical model to calculate the consumption of sewing thread for 301 lockstitch

Geometrical model to calculate the consumption of sewing thread for 301 lockstitch

Sewing Thread Consumption for Chain Stitches of Class 400 using Geometrical and Multilinear Regression Models

Determination of Sewing Thread Consumption for 602, 605, and 607 Cover Stitches Using Geometrical and Multi-Linear Regression Models

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