Özet:

In today’s competitive environment, the elements that will benefit companies are to efficiently use energy and increase the amount of production. Companies gather teams, with these teams they do energy savings, environmental development and production enhancement work. Governments provide incentives for AR-GE work, and even provide funding support. In order to ensure energy savings and increase production in order to be able to compete with competing companies, companies have to review very different situations and show behavior changes. This topic has become so important that sometimes the lines have to even change the working principles in their organization. In this study, the aim of the mathematical model used in the Continuous Sweating Lines (STH) is to model with the artificial nerve network (YSA) by selecting the most suitable for energy savings and production increase from the practices developed by the operators themselves. This has led to the development of a system that will be able to fulfill operators’ tasks and increase energy savings. The aim of the application is to reduce the number of external products produced by providing standards and therefore to ensure increased production.