SIMULATED ANNEALING ALGORITHM AND IMPLEMENTATION SOFTWARE FOR FABRIC CUTTING PROBLEM

Year 2020, Volume: 30 Issue: 1, 10 - 19, 25.03.2020

Duygu Yılmaz Eroğlu âli Yurdun Orbak

https://doi.org/10.32710/tekstilvekonfeksiyon.521944

Cited By: 2

Abstract

Development
of loom technology has significantly increased the efficiency of fabric output
in the textile industry. Additionally, preventing the occurrence of defects
during the manufacturing process on the fabric is not easy. Therefore, after
the production completed, the aim is deciding the cutting location of the
product, which has the error map, to increase the first quality product
quantity by considering the customer quality parameters. In this article, a
decision support system has been developed to help the inspector in the final
stage which will also prevent losses. The first of the proposed two algorithms
is Simulated Annealing algorithm, which is well known and rendered good results
for the different type of problems in the literature, and the other is the
K-means method which is frequently used in clustering. In the study, a sample
problem is used to explain the adaptation of algorithms to the problem, the
results of methods are compared, and design of the experiment is deployed to
obtain the best parameter values for the selected algorithm. Finally, the
software, which is prepared to use the algorithm in the real production
environment, is introduced and the results of the performance analysis are
evaluated. The results demonstrated that the developed software is capable of making
high ratio first quality fabric decision within seconds.

Keywords

Cutting algorithms, Simulated Annealing

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