1. **Introduction** Fabric output, measured in meters per day, is a key indicator of productivity in textile manufacturing. It reflects the efficiency of weaving machines and the overall production process. 2. **Background** Textile manufacturing involves multiple factors such as machine type, fabric type, operator skill, and working conditions that influence fabric output. Understanding these factors helps optimize production and improve quality. 3. **Brief Description about the Dataset** The dataset includes fabric output values along with influencing factors: shift (morning/evening/night), machine type (shuttle/rapier/airjet), fabric type (cotton/polyester/blended), automation level (low/medium/high), operator skill (unskilled/semi-skilled/skilled), loom speed (picks/min), task time (seconds), break frequency (breaks/day), and worker experience (years). 4. **Importance of the Study** Analyzing these factors helps identify bottlenecks and opportunities for improving fabric output, reducing defects, and increasing cost efficiency, which is crucial for competitiveness in the textile industry. 5. **Objectives** - To analyze the impact of various factors on fabric output. - To identify key drivers of productivity. - To provide recommendations for optimizing textile manufacturing processes. 6. **Limitations** - Dataset may have variability due to external factors not recorded. - Analysis depends on accuracy and completeness of data. - Results may not generalize to all textile units due to differences in machinery and workforce.