Sensors, Vol. 20, Pages 6484: Personalization of the MES System to the Needs of Highly Variable Production
Sensors, Vol. 20, Pages 6484: Personalization of the MES System to the Needs of Highly Variable Production
Sensors doi: 10.3390/s20226484
Authors:
Bożena Zwolińska
Agnieszka Anna Tubis
Norbert Chamier-Gliszczyński
Mariusz Kostrzewski
The new generation Manufacturing Executions System (MES) is considered as one of the most important solutions supporting the idea of Industry 4.0. This is confirmed by research conducted among companies interested in the implementation of the Industry 4.0 concept, as well as the publications of researchers who study this issue. However, if MES software is a link that connects the world of machines and business systems, it must take into account the specifics of the supported production systems. This is especially true in case of production systems with a high level of automation, which are characterised by flexibility and agility at the operational level. Therefore, personalization of the MES software is proposed for this class of production systems. The aim of the article is to present the MES system personalization method for a selected production system. The proposed approach uses the rules of Bayesian inference and the area of customisation is the technological structure of production, taking into account the required flexibility of the processes. As part of the developed approach, the variability index was proposed as a parameter evaluating the effectiveness of the production system. Then, the results of evaluation of the cu...
Source: Sensors - Category: Biotechnology Authors: Bo żena Zwolińska Agnieszka Anna Tubis Norbert Chamier-Gliszczy ński Mariusz Kostrzewski Tags: Article Source Type: research