Productivity Prediction of Garment Employees

Donated on 8/2/2020

This dataset includes important attributes of the garment manufacturing process and the productivity of the employees which had been collected manually and also been validated by the industry experts.

Dataset Characteristics

Multivariate, Time-Series

Subject Area


Associated Tasks

Classification, Regression

Feature Type

Integer, Real

# Instances


# Features


Dataset Information

Additional Information

The Garment Industry is one of the key examples of the industrial globalization of this modern era. It is a highly labour-intensive industry with lots of manual processes. Satisfying the huge global demand for garment products is mostly dependent on the production and delivery performance of the employees in the garment manufacturing companies. So, it is highly desirable among the decision makers in the garments industry to track, analyse and predict the productivity performance of the working teams in their factories. This dataset can be used for regression purpose by predicting the productivity range (0-1) or for classification purpose by transforming the productivity range (0-1) into different classes.

Has Missing Values?


Variable Information

01 date : Date in MM-DD-YYYY 02 day : Day of the Week 03 quarter : A portion of the month. A month was divided into four quarters 04 department : Associated department with the instance 05 team_no : Associated team number with the instance 06 no_of_workers : Number of workers in each team 07 no_of_style_change : Number of changes in the style of a particular product 08 targeted_productivity : Targeted productivity set by the Authority for each team for each day. 09 smv : Standard Minute Value, it is the allocated time for a task 10 wip : Work in progress. Includes the number of unfinished items for products 11 over_time : Represents the amount of overtime by each team in minutes 12 incentive : Represents the amount of financial incentive (in BDT) that enables or motivates a particular course of action. 13 idle_time : The amount of time when the production was interrupted due to several reasons 14 idle_men : The number of workers who were idle due to production interruption 15 actual_productivity : The actual % of productivity that was delivered by the workers. It ranges from 0-1.

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