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Araştırma Makalesi
www.ejosat.com ISSN:2148-2683
Research Article
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In the age of digitalization, businesses want to adapt themselves to new technologies. In order to adapt to these new technologies and
increase efficiency and profitability, there is a need for data processing and analysis of the situation with intelligent decision-making
systems. Especially in the garment industry, which has a large production volume, both the continuation of traditional processes and
the direct dependence of work flows on human performance affect productivity significantly. Thus, there are serious differences between
the expected performance values and the actual outputs.
In this study, data mining techniques were applied and analyzes were made on the data of a business in a garment industry. In this
enterprise, an artificial neural network model was created to predict the real production performance by examining the working
conditions of the workers. When the results were examined, an accuracy value of 85% was reached. It has been shown that the model
will contribute to increasing the production performance and efficiency of the enterprises with the necessary corrections and at the same
time reducing the losses to the minimum level.
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