Unknown

Dataset Information

0

Textile weaving dataset for machine learning to predict rejection and production of a weaving factory.


ABSTRACT: Weaving is one of the most popular fabric manufacturing techniques. The weaving process consists of 3 major stages: warping, sizing, and weaving. The weaving factory henceforth involves a lot of data. But unfortunately, there is no attempt to utilize machine learning or data science in weaving production. Although a variety of scopes are there to implement statistical analysis, data science, and machine learning. The dataset was prepared by using the daily production report for 9 months. The final dataset contains 121,148 data with 18 parameters.  Whereas the raw data contains the same number of entries with 22 columns. The raw data needs substantial work to combine the daily production report, treat the missing values, rename columns, and feature engineering to derive EPI, PPI, warp, weft count values, etc. The complete dataset is stored at https://data.mendeley.com/datasets/nxb4shgs9h/1. It is further processed to get the rejection dataset which is stored at https://data.mendeley.com/datasets/6mwgj7tms3/2. The future implementation of the dataset is to predict the weaving waste, investigate the statistical relations among various parameters, production prediction, etc.

SUBMITTER: Ahmed T 

PROVIDER: S-EPMC9982269 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature

altmetric image

Publications

Textile weaving dataset for machine learning to predict rejection and production of a weaving factory.

Ahmed Toufique T   Uddin Shihab S  

Data in brief 20230221


Weaving is one of the most popular fabric manufacturing techniques. The weaving process consists of 3 major stages: warping, sizing, and weaving. The weaving factory henceforth involves a lot of data. But unfortunately, there is no attempt to utilize machine learning or data science in weaving production. Although a variety of scopes are there to implement statistical analysis, data science, and machine learning. The dataset was prepared by using the daily production report for 9 months. The fin  ...[more]

Similar Datasets

| S-EPMC7644021 | biostudies-literature
| S-EPMC6333410 | biostudies-literature
| S-EPMC10673125 | biostudies-literature
| S-EPMC10592640 | biostudies-literature
2025-09-30 | GSE299429 | GEO
| S-EPMC9205313 | biostudies-literature
| S-EPMC11912182 | biostudies-literature
| S-EPMC5956613 | biostudies-literature
| S-EPMC10333426 | biostudies-literature
| S-EPMC10584858 | biostudies-literature