Abstract:
The garment industry is one of the intensive
manufacturing industries operating in Sri Lanka, catering
to the world’s number one brands from the US and Europe.
Its contribution to the economy is immense. Given the situation
explained above, we need to improve the technical know-how
and the product quality for meeting the deadline with
regards to on-time delivery. To be more competitive in the
market to improve productivity and the quality of the product
along with optimizing the process workflow with using improved
techniques is a must. Due to the poor workmanship and other
human errors and poor human supervision, the quality of
products tends to decrease. Therefore, increasing efficiency
and decreasing quality cost are the main objectives. This paper
presents suitable solution using machine learning techniques
such as a method to identify defect co-occurrences using
association rule mining, a method to optimize employee
leave management using classification techniques, a method to
optimize seating arrangement in sewing lines using Genetic
Algorithms, and a method to implement predictive
maintenance of machinery using classification techniques in
data mining.
