ANALYSIS OF GARMENTS PRODUCTIVITY PREDICTION

Abstract

The garment industry is a rapidly growing sector, with a high demand for efficientand reliable production processes. In this project, we propose to use data analysis and machine learning techniques to predict the productivity of a garment manufacturing facility.The goal of this project is to improve the efficiency and planning of the facility by providing accurate predictions of production output in a given period of time.We will collect data on factors such as machine usage, worker productivity, and raw material inventory to build a predictive model. By analyzing this data, we will identify patterns and trends that can be used to optimize the production process.The result will be a model that can be used to guide decision making, ultimately leading to increased productivity and improved performance for the garment manufacturing facility.