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A Model for Assessing The Level of Automation of a Maintenance Department Using Artificial Neural Network

Halikowski Daniel, Patalas-Maliszewska Justyna, Skrzeszewska Małgorzata

Applied Computer Science

2018

Vol. 14, no 4

70--80

With regard to adapting enterprise to the Industry 4.0 concept, the first element should be the implementation and use of an information system within a manufacturing company. This article proposes a model, the use of which will allow the level of automation of a maintenance department to be forecast, depending on the effectivity of the use of the Manufacturing Executions System (MES) within a company. The model was built on the basis of the actual times of business processes completed which were supported by MES in the maintenance departments of two manufacturing enterprises using artificial neural network. As a result of research experiments, it was confirmed that the longer the time taken to complete business processes supported by MES, the higher is the degree of automation in a maintenance department.